{"id":14518,"date":"2022-05-15T11:33:23","date_gmt":"2022-05-15T04:33:23","guid":{"rendered":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/?page_id=14518"},"modified":"2022-05-30T17:45:36","modified_gmt":"2022-05-30T10:45:36","slug":"accepted-abstracts","status":"publish","type":"page","link":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/accepted-abstracts\/","title":{"rendered":"\u0421\u043f\u0438\u0441\u043e\u043a \u043f\u0440\u0438\u043d\u044f\u0442\u044b\u0445 \u043a \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438 \u0442\u0435\u0437\u0438\u0441\u043e\u0432"},"content":{"rendered":"

\u0423\u0432\u0430\u0436\u0430\u0435\u043c\u044b\u0435 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0438!<\/strong><\/span><\/p>\n

\u0417\u0430\u043a\u043e\u043d\u0447\u0435\u043d\u043e \u0440\u0435\u0446\u0435\u043d\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0442\u0435\u0437\u0438\u0441\u043e\u0432, \u043f\u043e\u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u044e BGRS\/SB-2022.<\/span>
\n\u041d\u0438\u0436\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0430 \u0442\u0430\u0431\u043b\u0438\u0446\u0430, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0443\u043a\u0430\u0437\u0430\u043d\u044b:<\/span>
\n(1) \u0430\u0432\u0442\u043e\u0440, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u0434\u043e\u043a\u043b\u0430\u0434;<\/span>
\n(2) \u0442\u0438\u043f \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043e\u043a\u043b\u0430\u0434\u0430;<\/span>
\n(3) \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u044b;<\/span>
\n(4) \u0441\u0435\u043a\u0446\u0438\u044f, \u043d\u0430 \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u043f\u0440\u0438\u043d\u044f\u0442 \u0442\u0435\u0437\u0438\u0441.<\/span><\/p>\n

\u041f\u043e\u0436\u0430\u043b\u0443\u0439\u0441\u0442\u0430, \u043f\u0440\u043e\u0438\u043d\u0444\u043e\u0440\u043c\u0438\u0440\u0443\u0439\u0442\u0435 \u043d\u0430\u0441 (\u043f\u043e \u0430\u0434\u0440\u0435\u0441\u0443 bgrs2022@bionet.nsc.ru<\/a>) \u0435\u0441\u043b\u0438:<\/span>
\n— \u0432\u0430\u0448\u0443 \u0440\u0430\u0431\u043e\u0442\u0443 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u043e\u0439 \u0430\u0432\u0442\u043e\u0440;<\/span>
\n— \u0438\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0435\u043b\u0438 \u0431\u044b \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u043d\u0435 \u0443\u0441\u0442\u043d\u044b\u0439 \u0434\u043e\u043a\u043b\u0430\u0434 (\u043e\u0447\u043d\u043e \u0438\u043b\u0438 \u0434\u0438\u0441\u0442\u0430\u043d\u0446\u0438\u043e\u043d\u043d\u043e), \u0430 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0412\u0430\u0448\u0443 \u0440\u0430\u0431\u043e\u0442\u0443 \u0432 \u0432\u0438\u0434\u0435 \u043f\u043e\u0441\u0442\u0435\u0440\u0430.<\/span><\/p>\n

\u041f\u043e\u0441\u0442\u0435\u0440\u043d\u044b\u0435 \u0434\u043e\u043a\u043b\u0430\u0434\u044b \u043c\u043e\u0436\u043d\u043e \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0432 \u0442\u0440\u0435\u0445 \u0432\u0438\u0434\u0430\u0445:<\/strong><\/span>
\n1. \u043d\u0430 \u043e\u0447\u043d\u043e\u0439\/\u0444\u0438\u0437\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043f\u043e\u0441\u0442\u0435\u0440\u043d\u043e\u0439 \u0441\u0435\u0441\u0441\u0438\u0438 \u0432 \u0432\u0438\u0434\u0435 \u043d\u0430\u043f\u0435\u0447\u0430\u0442\u0430\u043d\u043d\u043e\u0433\u043e \u043f\u043b\u0430\u043a\u0430\u0442\u0430 (\u0444\u043e\u0440\u043c\u0430\u0442 \u04101<\/strong> [70 \u0441\u043c. \u043d\u0430 85 \u0441\u043c.], \u043e\u0440\u0438\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u2014 \u0432\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u0430\u044f), \u0440\u0430\u0437\u043c\u0435\u0449\u0435\u043d\u043d\u043e\u0433\u043e \u043d\u0430 \u0441\u0442\u0435\u043d\u0434\u0435. \u041f\u043e\u0441\u0442\u0435\u0440\u043d\u0430\u044f \u0441\u0435\u0441\u0441\u0438\u044f \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u043e\u0445\u043e\u0434\u0438\u0442\u044c \u0435\u0436\u0435\u0434\u043d\u0435\u0432\u043d\u043e \u0443\u0442\u0440\u043e\u043c \u0434\u043b\u044f \u0442\u0435\u0445 \u0441\u0435\u043a\u0446\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0431\u0443\u0434\u0443\u0442 \u0438\u0434\u0442\u0438 \u0432 \u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0438 \u0432 \u044d\u0442\u043e\u0442 \u0434\u0435\u043d\u044c;<\/span>
\n2. \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u0432 \u0432\u0438\u0434\u0435 4-6 \u0441\u043b\u0430\u0439\u0434\u043e\u0432 \u0432 \u0444\u043e\u0440\u043c\u0430\u0442\u0435 .ppt (.pptx) \u0438\u043b\u0438 .pdf , \u0440\u0430\u0437\u043c\u0435\u0449\u0435\u043d\u043d\u0430\u044f \u0432 \u0440\u0430\u0437\u0434\u0435\u043b\u0435 \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0439 \u043f\u043e\u0441\u0442\u0435\u0440\u043d\u043e\u0439 \u0441\u0435\u0441\u0441\u0438\u0438 \u043d\u0430 \u0441\u0430\u0439\u0442\u0435. \u041f\u0440\u0438\u043c\u0435\u0440 \u0441 \u043f\u0440\u043e\u0448\u043b\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438: https:\/\/bgrssb.icgbio.ru\/2020\/2020\/06\/29\/advanced-data-curation-in-gtrd-database-hierarchical-dictionaries-of-cell-types-and-experimental-factors\/<\/a>.\u00a0 \u041f\u043e\u0434\u0440\u043e\u0431\u043d\u043e\u0441\u0442\u0438 \u043e \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0435 \u043f\u0440\u0435\u0437\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \u043f\u043e\u0441\u0442\u0435\u0440\u0430: http:\/\/bgrssb.icgbio.ru\/2022\/poster-requirements\/<\/a><\/span>
\n3. \u043a\u043e\u0440\u043e\u0442\u043a\u0438\u0439 \u0432\u0438\u0434\u0435\u043e\u0440\u043e\u043b\u0438\u043a \u043d\u0430 2-3 \u043c\u0438\u043d \u043e \u0441\u0443\u0442\u0438 \u0440\u0430\u0431\u043e\u0442\u044b, \u0442\u0430\u043a \u0436\u0435 \u0440\u0430\u0437\u043c\u0435\u0449\u0435\u043d\u043d\u044b\u0439 \u043d\u0430 \u0441\u0430\u0439\u0442\u0435 \u0432 \u0440\u0430\u0437\u0434\u0435\u043b\u0435 \u0438\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0439 \u043f\u043e\u0441\u0442\u0435\u0440\u043d\u043e\u0439 \u0441\u0435\u0441\u0441\u0438\u0438. \u041f\u0440\u0438\u043c\u0435\u0440 \u0440\u043e\u043b\u0438\u043a\u0430 \u0441 \u043f\u0440\u043e\u0448\u043b\u043e\u0439 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438: https:\/\/bgrssb.icgbio.ru\/2020\/2020\/06\/29\/pharmacological-effects-of-recombinant-fgf21-in-ovariectomized-mice-c57bl-6j\/<\/a><\/span><\/p>\n

\u041f\u0440\u043e\u0441\u044c\u0431\u0430 \u043f\u043e \u0432\u0441\u0435\u043c \u043d\u0435\u0442\u043e\u0447\u043d\u043e\u0441\u0442\u044f\u043c \u0438 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f\u043c \u0432 \u043e\u0442\u043d\u043e\u0448\u0435\u043d\u0438\u0438 \u0432\u0430\u0448\u0435\u0433\u043e \u0434\u043e\u043a\u043b\u0430\u0434\u0430 \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0432 \u043e\u0440\u0433\u043a\u043e\u043c\u0438\u0442\u0435\u0442 \u0434\u043e 20 \u043c\u0430\u044f<\/strong>, \u0447\u0442\u043e\u0431\u044b \u043c\u044b \u043c\u043e\u0433\u043b\u0438 \u0441\u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u0438 \u043e\u0431\u0449\u0435\u0435 \u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0435.<\/span><\/p>\n\n\n\n\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Presenter (1)<\/strong><\/span><\/td>\nType (2)<\/strong><\/span><\/td>\nTitle of the abstract (3)<\/strong><\/span><\/td>\nSymposium\/Section (4)<\/strong><\/span><\/td>\n<\/tr>\n
Abakumov A.<\/span><\/td>\nWithout report<\/span><\/td>\nChlorophyll quota and energy-intensive substance for prime production estimation of the aquatic ecosystem<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Adamovskaya A.<\/span><\/td>\nPoster<\/span><\/td>\nReconstruction and analysis of the gene network of the external pathway of apoptosis in viral hepatitis C<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Adonina S.<\/span><\/td>\nOral<\/span><\/td>\nThe effect of short photoperiod on the behavior, brain serotonin system and BDNF in mice that differ in predisposition to catalepsy<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Afonnikov D.<\/span><\/td>\nOral<\/span><\/td>\nLarge scale analysis of the crop transcriptomic data: analysis of out of the reference transcripts<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Afonnikov D.<\/span><\/td>\nOral<\/span><\/td>\nEvolution of the YUCCA protein family: phylogenetic rela-tionships between the YUCCA and Type IIb FMO families<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Afonnikova S.<\/span><\/td>\nOral<\/span><\/td>\nComparative and evolution genomics of somatic antigens of Oxalobacteraceae family<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Aglyamova A.<\/span><\/td>\nOral<\/span><\/td>\nGenome-wide identification and expression analysis of lectins during cell development in elongation in maize root<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Aisha Tufail<\/span><\/td>\nOral<\/span><\/td>\nNigella sativa compounds as novel EGFR inhibitor using DFT, molecular docking and molecular Dynamics<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akberdin I.<\/span><\/td>\nPoster<\/span><\/td>\nReconstruction of a genome-scale metabolic model for chicken whole embryo considering transcriptomics data<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akhmetzianova L.<\/span><\/td>\nOral<\/span><\/td>\nDesign primers for LAMP \u2013 Amplification<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akimniyazova A.<\/span><\/td>\nPoster<\/span><\/td>\npiRNAs regulate the expression of candidate esophageal adenocarcinoma genes<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akimov S.<\/span><\/td>\nOral<\/span><\/td>\nStatistical approach to regulation of membrane-permeabilizing activity of antimicrobial peptides<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akinshin A.<\/span><\/td>\nPoster<\/span><\/td>\n\u0421ardiac rhythm and conduction disturbances in patients with ankylosing spondylitis.<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akopyan A.<\/span><\/td>\nPoster<\/span><\/td>\nRestoration of Parkinson\u2019s disease-like deficits with rapamycin and trehalose in a \u201cpostponed\u201d mode in murine models<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akulov A.<\/span><\/td>\nOral<\/span><\/td>\nMRI neurophenotyping of the consequences of experimental hyperglycemia in different genotypes of mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Akulova A.<\/span><\/td>\nOral<\/span><\/td>\nFetal brain automatic segmentation: 3T MRI based study<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Aleksandrovich V.<\/span><\/td>\nPoster<\/span><\/td>\nThe low level of variability is depicted in plastomes of early soybean varieties<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Alekseev A.<\/span><\/td>\nOral<\/span><\/td>\nValidation of metabolic aging trends on multiple databases<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Alemasova E.<\/span><\/td>\nOral<\/span><\/td>\nRole of PAR and RNA in biomolecular condensate formation<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Aliper E.<\/span><\/td>\nPoster<\/span><\/td>\nA model of SARS-CoV-2 spike transmembrane domain linked to the HR2 region: structural organisation and possible role in membrane fusion<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Alsallum M.<\/span><\/td>\nOral<\/span><\/td>\nTrkB.T1 in the mechanisms of genetically-determined depressive-like behavior in mice<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Amit Dubey<\/span><\/td>\nOral<\/span><\/td>\nExploration of natural flavonoids as novel Topoisomerase II inhibitors using DFT, molecular docking, and molecular dynamics<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Amstislavskaya T.<\/span><\/td>\nOral<\/span><\/td>\nModeling of Neuropathology on Zebrafish: Traumatic Brain Injury<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Anashkina A.<\/span><\/td>\nOral<\/span><\/td>\nHierarchical Structure of Protein Sequences \u2013 New Insight of Protein Organization<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Anashkina A.<\/span><\/td>\nPoster<\/span><\/td>\nComparison of Hemoglobin Sequences of Normoxic Species to Hypoxia-Resistant Heterocephalus glaber (Naked mole rat)<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Anisimov V.<\/span><\/td>\nOral<\/span><\/td>\nMulti-stage model of aging and carcinogenesis<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ansuman Lahiri<\/span><\/td>\nPoster<\/span><\/td>\nDeveloping an accurate force field for simulating modified RNA<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Antezana M.<\/span><\/td>\nPoster<\/span><\/td>\nA novel, computationally tractable algorithm flags in big matrices every column associated in any way with others or a dependent variable, with much higher power when columns are linked like mutations in chromosomes<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Antonenko A.<\/td>\nPoster<\/td>\nThe daily cycle of glutamate in the retina of OXYS rats during aging and the development of retinopathy<\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ryazantsev G.<\/span><\/td>\nOral<\/span><\/td>\nFunctional domain annotation of protein sequences with deep metric learning<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Antonets K.<\/span><\/td>\nOral<\/span><\/td>\nConstructing robust and efficient PCR-based systems to dis-criminate Bacillus cereus subspecies<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Antontseva E.<\/span><\/td>\nPoster<\/span><\/td>\nFunctional study of rs590352 (ATXN7L3B) associated with colorectal cancer<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Antropova E.<\/span><\/td>\nPoster<\/span><\/td>\nPrioritization of pathologies based on the analysis of gene net-works of various macrophage phenotypes using ANDSystem<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Arefieva N.<\/span><\/td>\nOral<\/span><\/td>\nDetection of recombination events in coronavirus genomes from the subgenus sarbecovirus<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Artemenko N.<\/span><\/td>\nPoster<\/span><\/td>\nGlume pubescence prediction of spikelets using computer vision techniques<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ayriyants K.<\/span><\/td>\nOral<\/span><\/td>\nInfluence of Administration of Pro-Inflammatory Agents on Development, Individual and Social Behavior of BTBR Mice<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Babak O.<\/span><\/td>\nOral<\/span><\/td>\nRelationship Patterns of the Genetic Regulation of Carotenoid and Flavonoid Accumulation in Tomato Fruits (S. lycopersicum)<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Babenko V.<\/span><\/td>\nOral<\/span><\/td>\nEvolution of gene exon \u2013intron structure by alternative splicing<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Babich T.L.<\/span><\/td>\nOral<\/span><\/td>\nDiversity and possible metabolic activity of the microbial community in nitrate- and radionuclide-contaminated groundwater<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Baboshin M.<\/span><\/td>\nPoster<\/span><\/td>\nSoftware package for retrosynthesis-based prediction of metabolic pathways
\n<\/span><\/td>\n		\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Babushkina N.<\/span><\/td>\nPoster<\/span><\/td>\nRe-analysis of DNA methylationin genes associated with bronchial asthma<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Baiandina I.<\/span><\/td>\nPoster<\/span><\/td>\nLight perception in Beroidae ctenophores: evidence from laboratory experiments and genomics data<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bakman A.<\/span><\/td>\nPoster<\/span><\/td>\nUsing fluorescently labeled proteins to study the interactions of APE1 with DNA and Pol\u041e\u0406 during the BER pathway<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bakunova A.<\/td>\nPoster<\/td>\nInteraction of D-cycloserine with a D-amino acid transaminase from Haliscomenobacter hydrossis<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Baneh H.<\/span><\/td>\nOral<\/span><\/td>\nGenome-wide association study of carcass traits in an Angus beef cattle Russian herd using Imputed Whole-Genome Se-quence data<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bankin M.<\/span><\/td>\nWithout report<\/span><\/td>\nGenomic regions associated with fiber-related traits in flax<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bannikova S.<\/span><\/td>\nPoster<\/span><\/td>\nTerahertz radiation proteomic response of the thermophilic bacterium Geo-bacillus icigianus<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Barbitoff Y.<\/span><\/td>\nOral<\/span><\/td>\nSeeking an optimal approach to variant calling in medical genetics<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bartsev S.<\/span><\/td>\nOral<\/span><\/td>\nClosure and stability of trophic chains<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bashirzade A.<\/span><\/td>\nOral<\/span><\/td>\nCombined treatment with autophagy inducers rapamycin and trehalose as an experimental therapy for Alzheimer’s disease-like pathology in mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bashkirov P.<\/span><\/td>\nPoster<\/span><\/td>\nBending compliance of lipid bilayer regulates the curvature threshold and pathway of membrane structural stability loss<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Basu A.<\/span><\/td>\nOral<\/span><\/td>\nEpigenetics behind SARS COV2<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Batlutskaya I.<\/span><\/td>\nWithout report<\/span><\/td>\nOn the role of genetic factors in the development of preeclampsia<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Beklemisheva V.<\/span><\/td>\nPoster<\/span><\/td>\nDetailed analysis of distribution of repetitive sequences across genomes of Martes (Mustelidae, Carnivora, Mammalia)<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Belichenko V.<\/span><\/td>\nOral<\/span><\/td>\nEffects of two types of the central (intracerebroventricular vs. intrahippocampal) administration of A\u03b225-35 on the induction of Alzheimer\u2019s Disease-like pathology in mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Belonogova N.<\/span><\/td>\nOral<\/span><\/td>\nAssociation of PANX3 with chronic back pain discovered using gene-based analysis<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Berezhnaya A.<\/span><\/td>\nPoster<\/span><\/td>\nQTLs associated with the duration of the developmental phases in wheat<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bershatsky Y.<\/span><\/td>\nPoster<\/span><\/td>\nDiversity of structural-dynamic properties of transmembrane domains among the insulin receptor family<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bershatsky Y.<\/span><\/td>\nPoster<\/span><\/td>\nApplication of X-Ray, SAXS and essential dynamics simulations to study conformational transitions of oligopeptidase B<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bersimbaev R.<\/span><\/td>\nOral<\/span><\/td>\ncf mtDNA as promising biomarker of radon-induced lung can-cer<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bezdvornykh I.<\/span><\/td>\nOral<\/span><\/td>\nSwaveform: a genome-wide survey of structural variation profiles<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bezuglov V.<\/span><\/td>\nOral<\/span><\/td>\nITAS: integrated transcript annotation for small RNA<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bgatova N.<\/span><\/td>\nPoster<\/span><\/td>\n\u0415xamination of myocardium and adrenal glands structure in patients with COVID-19<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bikchurina T.<\/span><\/td>\nPoster<\/span><\/td>\nChromosome synapsis and recombination in intraspecific and interspecific heterozygotes for chromosomal rearrangements in voles of the genus Alexandromys<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Biziukova N.<\/span><\/td>\nOral<\/span><\/td>\nIdentification of virus-host interaction mechanisms based on text-mining approach<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bocharov A.<\/span><\/td>\nOral<\/span><\/td>\nChanges in EEG spectral power during interaction with a player in a computer game<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bocharov E.<\/span><\/td>\nOral<\/span><\/td>\n\u201cHot spots\u201d for pathogenic gain-of-function mutations in transmembrane domains of receptor tyrosine kinases<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bocharov E.<\/span><\/td>\nPoster<\/span><\/td>\nAll-D-enantiomeric peptide designed for Alzheimer\u00b4s disease treatment dynamically interacts with amyloidogenic region of membrane-bound amyloid-\u03b2 peptide precursor<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bocharov G.<\/span><\/td>\nOral<\/span><\/td>\nMathematical modelling of antiviral immune responses to SARS-CoV-2 infection<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bocharova A.<\/span><\/td>\nOral<\/span><\/td>\nSearch for novel genetic variants associated with the variability of cognitive functions in the elderly according to whole exome sequencing data<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bograya M.<\/span><\/td>\nPoster<\/span><\/td>\nMiRNA-dependent regulation of ERBB signaling pathway genes in patients with NASH<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bohdan D.<\/span><\/td>\nPoster<\/span><\/td>\nA non-redundant set of long-range RNA tertiary interactions and their classification<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bolshakova E.<\/span><\/td>\nOral<\/span><\/td>\nDetection of the DPY19L2 gene deletion using nanopore sequencing<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Boulygina E.<\/span><\/td>\nWithout report<\/span><\/td>\nLoss-of-function mutations in athletes<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bragina E.<\/span><\/td>\nOral<\/span><\/td>\nUnderstanding the role of genetics in comorbidity<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bratus A.<\/span><\/td>\nOral<\/span><\/td>\nMathematical model dynamics of pancreatic cancer with interaction of immune system. Approach by replicator quasispecies system.<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Brodt K.
\n<\/span><\/td>\n		Oral
\n<\/span><\/td>\n		Deep learning for the development of an OCR for old Tibetan books<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Brovkina O.<\/span><\/td>\nPoster<\/span><\/td>\nAnalysis of hypoxia signature in TCGA-BRCA dataset and in mcf-7 cell line<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bryanskaya A.<\/span><\/td>\nOral<\/span><\/td>\nExtremal ecosystems as a basis for the creation of the collection of the ICG SB RAS<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bukin S.<\/span><\/td>\nPoster<\/span><\/td>\nProducers and oxidizers of methane in the bottom sediments of Lake Baikal and their potential role in the formation of anomalously 13C-enriched authigenic carbonates<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bulaev A.<\/span><\/td>\nOral<\/span><\/td>\nTemperature and carbon source as factors affecting the bioox-idation of sulfide concentrate<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bulygin A.<\/span><\/td>\nPoster<\/span><\/td>\nStructural features of substrate recognition by APE1-like endonucleases<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Burnyasheva A.<\/span><\/td>\nPoster<\/span><\/td>\nAlterations of glutamatergic\/GABAergic systems during healthy aging and Alzheimer\u0432\u0402\u2122s disease-like pathology in rats<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bushueva O.<\/span><\/td>\nPoster<\/span><\/td>\nGenes, encoding heat-resistant obscure (Hero) proteins: new players in ischemic stroke pathogenesis<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Bushueva O.<\/span><\/td>\nOral<\/span><\/td>\nMolecular mechanisms of cardio- and cerebrovascular comorbidity: from experimental analysis of structural and epigenetic variations in the human genome to post-GWAS analysis of genetic correlations between diseases<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Buslaev V.<\/span><\/td>\nPoster<\/span><\/td>\nFunctional enrichment analysis of cytochrome P450 genes differential expression in non-smoking lung cancer patients<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Busov I.<\/span><\/td>\nPoster<\/span><\/td>\nThe system of computer vision for extracting quantitative characteristics of wheat shoots<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Butina T.<\/span><\/td>\nOral<\/span><\/td>\nViromic studies of aquatic invertebrates<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Buzhilova A.<\/td>\nOral
\n<\/span><\/td>\n		Upper Palaeolithic anthropological data from Russia in context of bioarchaeology and paleogenetic (on example of Sunghir site and Kostenki XIV)<\/span><\/td>\n\n
\n
\n

4.3 Human origin and evolution<\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

Chadaeva I.<\/span><\/td>\nPoster<\/span><\/td>\nDomestication explains two-thirds of differential gene expression variance between domestic and wild animals; the remaining one-third reflects intra-specific and interspecific variation<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Chaley M.<\/span><\/td>\nWithout report<\/span><\/td>\nVariant approach to genus identification of coronavirus genome<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Changalidi A.<\/span><\/td>\nPoster<\/span><\/td>\nTrans-biobank genome-wide association analysis for pregnancy complications<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Chen M.<\/span><\/td>\nPoster<\/span><\/td>\nMedical genetics and cancer studies based on next-gen sequenc-ing presented at the bioinformatics conferences and young sci-entists schools<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Chepurnov G.<\/span><\/td>\nPoster<\/span><\/td>\nInheritance of the type growth and maturity in Aegilops squarrosa, a donor of the D hexaploid wheat genome<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Cherevko A.<\/span><\/td>\nOral<\/span><\/td>\nUsing a combination of mathematical multiphase poroelasticity model of parenchyma and experimental approaches to study hydrocephalus<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Cherkashina O.<\/span><\/td>\nPoster<\/span><\/td>\nThe pattern of YAP1 distribution in the normal and pathological state of the human epidermis<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Chernyshova I.<\/span><\/td>\nPoster<\/span><\/td>\nTyrosyl-DNA phosphodiesterase 1 Inhibitors as topotecan sensitizers<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Chizhova N.<\/span><\/td>\nOral<\/span><\/td>\nAntipsychotic activity of a new PTPN5 blocker (TC-2051) in mice with the Disc1-L100P mutation<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Damarov I.<\/span><\/td>\nOral<\/span><\/td>\nGenome-Wide detection of Human Regulatory SNPs Based on analysis of ChIP-seq and RNA-seq complex data<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Danilchenko V<\/span><\/td>\nOral<\/span><\/td>\nPreliminary bioinformatic analysis to optimize the testing of the SLC26A4 pathogenic variants involved in hearing loss<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Danilchenko V.<\/span><\/td>\nPoster<\/span><\/td>\nSpecific allelic diversity of the SLC26A4 gene associated with hearing loss in the indigenous peoples of Southern Siberia (Russia)<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Danilenko V.<\/span><\/td>\nOral<\/span><\/td>\nStudy of human and animal microbiome as genetic and pharmacological resources for the development of innovative biotechnologies for medicine, animal husbandry and agro-industrial complex.<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Danilova A.<\/span><\/td>\nWithout report<\/span><\/td>\nEthnic Assortativeness and Endogamy Index among Yakuts in the Republic of Sakha (Yakutia)<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Das B.B.<\/span><\/td>\nOral<\/span><\/td>\nTop1-PARP1 association and beyond: from DNA topology to break repair<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Das R.<\/span><\/td>\nPoster<\/span><\/td>\nNote on genomic ancestry and variation in disease susceptibility<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Das R.<\/span><\/td>\nOral<\/span><\/td>\nGenomic variation underlies the severity of COVID-19 clinical manifestation<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Daugavet M.<\/span><\/td>\nOral<\/span><\/td>\nBacteriophages as vectors of gene transfer from prokaryotes to eukaryotes<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Davletgildeeva A.<\/span><\/td>\nPoster<\/span><\/td>\nFeatures of the substrate specificity of a novel AP endonuclease from Pyrococcus furiosus<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Davydova A.<\/span><\/td>\nOral<\/span><\/td>\nHemoglobin-binding 2′-F-modified RNA aptamers: structure studies and analytical application<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dedysh S.<\/span><\/td>\nOral<\/span><\/td>\nMethanotroph diversity in natural and anthropogenic habitats as an inexhaustible source of novel biotechnologically relevant strains<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Deeva A.<\/span><\/td>\nPoster<\/span><\/td>\nStructural features of bacterial luciferase related to temperature adaptation<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Degtyareva A.<\/span><\/td>\nPoster<\/span><\/td>\nFunctional study of rs2072580 (SART3 and ISCU genes) associated with breast cancer<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Demenkov P.<\/span><\/td>\nPoster<\/span><\/td>\nAssembly and annotation pipeline for microorganism genomes from sequence to gene networks<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Derevianchenko S.<\/span><\/td>\nPoster<\/span><\/td>\nDevelopment of an algorithm for facts extraction from the texts of biomedical articles<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dergilev A.<\/span><\/td>\nWithout report<\/span><\/td>\nComputer modeling of glioblastoma gene network and hub genes analysis<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Deryusheva E.<\/span><\/td>\nWithout report<\/span><\/td>\nIn search for the peptide\/protein ligands of human serum albumin able to affect its interaction with amyloid \u041e\u0406 peptide<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Deviatiiarov R.<\/span><\/td>\nOral<\/span><\/td>\nTranscriptome of failing human heart reveals atrial myocytes reprogramming<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Diatlova E.<\/span><\/td>\nOral<\/span><\/td>\nBase excision repair in non-canonical DNA structures<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dikaya V.<\/span><\/td>\nPoster<\/span><\/td>\nGrass frog (Rana temporaria) tandem repeats in the genome and oocytes’ transcriptome<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Djordjevic M.<\/span><\/td>\nOral<\/span><\/td>\nCombining machine learning and non-linear dynamics modeling to understand COVID-19 risk factors<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dmitrieva D.<\/span><\/td>\nPoster<\/span><\/td>\nProtein design strategy for structure determination of a peptide GPCR<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dobrovolskaya\u00a0M.<\/td>\nOral
\n<\/span><\/td>\n		Genetic diseases and congenital genetic anomalies in the study of ancient cultures (prospects for interdisciplinary research)<\/span><\/td>\n\n
\n
\n

4.3 Human origin and evolution<\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

Dolgikh V.<\/span><\/td>\nOral<\/span><\/td>\nIntegration of ChIP-seq and RNA-seq data in structure-function analysis of cis-regulatory elements<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dolgova E.<\/span><\/td>\nPoster<\/span><\/td>\nThe new general biological property of stem-like tumor cells<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Duk M.<\/span><\/td>\nPoster<\/span><\/td>\nStructural Variation in Flax Linum Usitatissimum L. Genome<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dvorianinova E.<\/span><\/td>\nPoster<\/span><\/td>\nSequencing Linum usitatissimum L. genomic DNA extracted from nuclei<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dyrkheeva N.<\/span><\/td>\nOral<\/span><\/td>\nTOP1, TDP1, and PARP1 inhibition: coupling and association<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Dzhaubermezov M.<\/td>\nOral
\n<\/span><\/td>\n		Ancient DNA analysis of the North Caucasus populations from the III-XIII AD<\/span><\/td>\n\n
\n
\n

4.3 Human origin and evolution<\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

Efimov V.<\/span><\/td>\nPoster<\/span><\/td>\nCorrelation between the Variability of Mammalian Molecular Genetic Sequences and the Geoclimatic Characteristics of Their Habitats<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Efimov K.<\/span><\/td>\nOral<\/span><\/td>\nNew features of the PCA-Seq method in time series analysis (on the example of COVID-19)<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Efremov R.<\/span><\/td>\nOral<\/span><\/td>\n«Dynamic molecular portraits» of biomembranes: a computational insight.<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Efremova A.<\/span><\/td>\nPoster<\/span><\/td>\nResearch and analysis of genes associated with hereditary pre-disposition to Crohn’s disease and reconstruction of the gene network using bioinformatics tools<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Egorova A.<\/span><\/td>\nOral<\/span><\/td>\nThird-generation cephalosporin and fluoroquinolone re-sistance in Salmonella enterica associated with antimicrobial resistance genes<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Elgaeva E.<\/span><\/td>\nOral<\/span><\/td>\nBidirectional Mendelian randomization study reveals causal effects of psychosocial factors on chronic back pain and vice versa<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Elisafenko E.<\/span><\/td>\nPoster<\/span><\/td>\nTracing the origin and evolution of the locus containing paralogous CENH3 genes in cereals<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Elistratova M.<\/span><\/td>\nPoster<\/span><\/td>\nComputer analysis of genes associated with Kaposi’s sarcoma<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Emirsaliiev A.<\/span><\/td>\nPoster<\/span><\/td>\nLongread-only approach to the organellar genome assembly of a rare endemic non-model species Crepis callicephala Juz. (Asteraceae)<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Endutkin A.<\/span><\/td>\nOral<\/span><\/td>\nBioorthogonality in the light of cell defense mechanisms: interaction of non-natural nucleic acids with the base excision dna repair system<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Enes Esvet Kuzucu<\/span><\/td>\nWithout report<\/span><\/td>\nButton Press Detection from EEG signals using Deep Learning<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Enikeeva R.<\/span><\/td>\nPoster<\/span><\/td>\nImpact of P2RX7 and TNF\/LTA gene polymorphisms in non-verbal intelligence in mentally healthy individuals<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Epimakhova E.<\/span><\/td>\nPoster<\/span><\/td>\nEffect of DNA-hydrolyzing catalytic IgGs from schizophrenia patients on cell viability of the SH-SY5Y cell line<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Eremin D.<\/span><\/td>\nOral<\/span><\/td>\nEffects of central administration of Cerebral dopamine neurotrophic factor (CDNF) on the behavior and serotonin system in the mouse brain<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ermakov E.<\/span><\/td>\nPoster<\/span><\/td>\nMultiplex analysis of serum cytokine profiles in patients with multiple sclerosis and systemic lupus erythematosus<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ershov A.<\/span><\/td>\nOral<\/span><\/td>\nHalophilic bacteria of the genera Halomonas and Marinobacter from petroleum reservoirs and their possible applications in biotechnology<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Evgen’ev M.<\/span><\/td>\nOral<\/span><\/td>\nHsp70 and donors of H2S in aging-associated diseases and inflammation<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fathalla A Rihan<\/span><\/td>\nOral<\/span><\/td>\nQualitative and Quantitative Features of Delay Differential Equations and Applications to Biology<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fedorov D.<\/span><\/td>\nOral<\/span><\/td>\nAutomatic identification of contaminating sequences in amplicon sequencing data<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fedorova S.<\/span><\/td>\nWithout report<\/span><\/td>\nTranscriptome analysis of Trl mutants reveals the role of mitochondria in the mass death of germ cells<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fedoseeva L.<\/span><\/td>\nWithout report<\/td>\nChanges in the expression of lncRNAs RGD1564482 and RT1-CE6 in the adrenal glands may be associated with the development of a stress-sensitive form of hypertension in ISIAH rats<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fenghua Lan<\/span><\/td>\nOral<\/span><\/td>\nAlternative splicing of human FMR1 gene in peripheral blood: making a single-gene transcriptome<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Filatova A.<\/span><\/td>\nOral<\/span><\/td>\nAnnotation of uORFs in the OMIM genes allows to identify disease-causing variants in 5`UTRs<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Firsov A.<\/span><\/td>\nOral<\/span><\/td>\nSmall world effect of the miRNA science field drives its growth<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fofanov M.<\/span><\/td>\nOral<\/span><\/td>\nComparative bioinformatic analysis of Hi-C chromosome-level scaffolds and chromosome painting maps of Vulpes vulpes and Canis familiaris (Canidae, Carnivora, Mammalia)<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fomin E.<\/span><\/td>\nPoster<\/span><\/td>\nChanges in the Phenology of Perennial Plants in Western Siberia against the Background of Global Warming<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Fomin I.<\/span><\/td>\nWithout report<\/span><\/td>\nStCDF1 gene editing in wild potato protoplasts<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Frisman E.<\/span><\/td>\nPoster<\/span><\/td>\nBifurcation mechanisms leading to the genetic divergence of two populations coupled by migration<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Furman D.<\/span><\/td>\nPoster<\/span><\/td>\nMorphogenesis of Drosophila melanogaster Mechanoreceptors: System Regulation<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gainova I.<\/span><\/td>\nOral<\/span><\/td>\nInterferon system response to virus infection<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Galzitskaya O.<\/span><\/td>\nPoster<\/span><\/td>\nEvaluation of the bacterial ribosomal protein S1 gene (rpsA) from the position of structural repetition<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Galzitskaya O.<\/span><\/td>\nOral<\/span><\/td>\nStudy of membrane permeability for various peptides by steered molecular dynamics<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gam A.<\/span><\/td>\nOral<\/span><\/td>\nImplementation of a spanning trees sampling algorithm to detect 4-motifs<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gatskaya S.<\/span><\/td>\nOral<\/span><\/td>\nCENH3 gene duplication leads to heterogeneous organization of centromeric chromatin in rye<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gaysler E.<\/span><\/td>\nOral<\/span><\/td>\nusing big data to create a clinical decision support system<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gazizova G.<\/span><\/td>\nPoster<\/span><\/td>\nDormice functional genome annotation project: the first insights on regulation of hibernation<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Genaev M.<\/span><\/td>\nOral<\/span><\/td>\nClassification of fruit flies by gender in images based on the YOLOv4-tiny neural network using mobile devices<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gild E.<\/span><\/td>\nPoster<\/span><\/td>\nThe effect of diol on behavior in a MPTP-induced model of Parkinson’s disease in mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gilda Eslami<\/span><\/td>\nOral<\/span><\/td>\nToxoplasma gondii proteins: Development of bioinformatics analysis for vaccine design against toxoplasmosis<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Golikova P.<\/span><\/td>\nPoster<\/span><\/td>\nMutation c.396dupT in the CLN6 gene — the main cause of neuronal ceroid lipofucinosis in Yakutia<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Golubyatnikov V.<\/span><\/td>\nOral<\/span><\/td>\nMathematical and numerical modelling of the circadian oscillator<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Golubyatnikov V.<\/span><\/td>\nOral<\/span><\/td>\nOn uniqueness and stability of a cycle of one Elowitz-Leibler type dynamical system<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Goncharuk M.<\/span><\/td>\nPoster<\/span><\/td>\nSampling the parameter space for heterologous bacterial production of intracellular domain of TLR1 reveals multiple optima<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Goncharuk S.<\/span><\/td>\nOral<\/span><\/td>\nSolving the structural puzzle of neurotrophin signaling<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gorbenko I.<\/span><\/td>\nOral<\/span><\/td>\nCRISPR-like elements and MGEs in A.thaliana nuclear genome<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gorchakov V.<\/span><\/td>\nWithout report<\/span><\/td>\nRegional principle of aging dynamics of visceral lymph nodes of different lymphatic regions<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gorelov S.<\/span><\/td>\nOral<\/span><\/td>\nFinding possible inhibitors for SARS-CoV-2 proteins using virtual ligand screening<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Goryachkovskaya T.<\/span><\/td>\nOral<\/span><\/td>\nTechnological aspects of the search, cloning and production of enzymes for industrial use<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gridina M.<\/span><\/td>\nOral<\/span><\/td>\nExo-C is a new Hi-C-based method for all type genome structural variants detection<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Gromyko D.<\/span><\/td>\nOral<\/span><\/td>\nPromoter motif inference and annotation of promoter sequences in bacterial genomes based on the analysis of structures of alternative sigma factor-promoter complexes<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Guber A.<\/span><\/td>\nOral<\/span><\/td>\nAcoustic tomography: inverse problem of source recovery<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Hebatallah J. Alsakaji<\/span><\/td>\nOral<\/span><\/td>\nDynamics of stochastic delay differential models for COVID-19: Case study in the UAE<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Hofestadt R.<\/span><\/td>\nOral<\/span><\/td>\nPetri net modeling and simulation of biological networks<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Hua Li<\/span><\/td>\nOral<\/span><\/td>\nChronic disease markers analysis using high-throughput se-quencing approaches<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ignatieva E.<\/span><\/td>\nPoster<\/span><\/td>\nFunctional and evolutionary characteristics of the gene network controlling appetite in mice: lessons from knockout or knock-down animals<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Igoshin A.<\/span><\/td>\nPoster<\/span><\/td>\nImputation-based whole-genome analysis identifies candidate variants affecting body temperature under the cold stress in Siberian cattle<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ilic B.<\/span><\/td>\nOral<\/span><\/td>\nAnalytical and numerical study of infection progression under social distancing measures<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ilina E.<\/span><\/td>\nPoster<\/span><\/td>\nInteraction of triazinylamidophosphate-containing oligonucleotides with cells and DNA-binding proteins<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Illarionov R.<\/span><\/td>\nOral<\/span><\/td>\nMicroRNA and piRNA profiles during pregnancy in serum and plasma<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ilyasov R.<\/span><\/td>\nOral<\/span><\/td>\nMetagenomic studies of the honey bee gut microbiome: prospects for the development of pharmabiotics<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ishchenko I.<\/span><\/td>\nPoster<\/span><\/td>\nMelatonin effect on the thymus cell composition in mice with functional pinealectomy<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivanchenko M.<\/span><\/td>\nOral<\/span><\/td>\nBiomarkers of aging and age-related diseases: from linear re-gression to Explainable Artificial Intelligence<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivanisenko N.<\/span><\/td>\nOral<\/span><\/td>\nComputational design of molecular probes targeting CD95 sig-naling pathway<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivanisenko T.<\/span><\/td>\nOral<\/span><\/td>\nANDDigest: An AI-enhanced Web-Tool for Finding Information in the Biological Literature<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivanisenko V.<\/span><\/td>\nOral<\/span><\/td>\nANDSystem: cognitive computer system for automated gene networks reconstruction and analysis<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivanov A.<\/span><\/td>\nWithout report<\/span><\/td>\nIsolation of high quality RNA from P. infestans for transcriptome analysis<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivanov N.<\/span><\/td>\nOral<\/span><\/td>\nInsights of the genome evolution in the Nicotiana genus<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivanov R.<\/span><\/td>\nOral<\/span><\/td>\nPhylostratigraphic Analysis of Human Cancers Transcriptomic Data<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ivashchenko A.<\/span><\/td>\nPoster<\/span><\/td>\nFeatures of the interaction of human piRNAs with the SARS-CoV-2 coronavirus genome<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kabardin I.<\/span><\/td>\nOral<\/span><\/td>\nDevelopment of optical and ultrasound methods for the multi-phase flows investigation and numerical calculations verification in biotechnological process<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kabirova E.<\/span><\/td>\nOral<\/span><\/td>\nInfluence of TADs boundary disruption on 3D genome organisation and genes expression at the mouse Pdgfra\/Kit\/Kdr locus<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kakoli Bose<\/span><\/td>\nOral<\/span><\/td>\nInter-subunit Crosstalk Synergistically Regulates Allosteric Activation of Proapoptotic Serine Protease HtrA2<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kalinin A.<\/span><\/td>\nPoster<\/span><\/td>\nIndividual features of the development of anthrax pathogen strains with different phenotypes on a soil environment model<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kalinn V.<\/span><\/td>\nOral<\/span><\/td>\nTumor mechanobiology and related prospects for targeted therapies. In Silico simulations and analysis<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kamanova E.<\/span><\/td>\nPoster<\/span><\/td>\nViral metagenomic analysis of publicly available genomic and transcriptomic samples from Simuliidae and Ceratopogonidae insects<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kaminskaya Ya.<\/span><\/td>\nOral<\/span><\/td>\nHippocampal\u0412 overexpression of cerebral dopamine neurotrophic factor (CDNF)\u0412 affected the behavior of mice with genetically-defined depressive-like behavior<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kaminskiy G.<\/span><\/td>\nOral<\/span><\/td>\nBehavior changes of epidemic control in condition of sufficient and limited resources<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karasev D.<\/span><\/td>\nOral<\/span><\/td>\nPredicting the protein-ligand interactions based on ligands\u2019 structures and proteins\u2019 sequences<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karetnikov D.<\/span><\/td>\nOral<\/span><\/td>\nReconstruction and analysis of potato Solanum tuberosum pan-genome of Siberian cultivars<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karogodina T.<\/span><\/td>\nPoster<\/span><\/td>\nN-Nitroso-BODIPY derivatives as effective Light activated NO donors<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karpenko D.<\/span><\/td>\nOral<\/span><\/td>\nMultidimensional analysis, dimension reduction, categorization with statistical approach — stability and reproducibility<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karpenko D.<\/span><\/td>\nOral<\/span><\/td>\nRecursive matrix algorithm for calculating differential expressions<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karpova A.<\/span><\/td>\nOral<\/span><\/td>\nEEG reactions in Yakuts and labor migrants under execution of Stop-signal paradigm<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karpova N.<\/span><\/td>\nPoster<\/span><\/td>\nIn silico determination of the risk haplotype for developing AMD<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karpova N.<\/span><\/td>\nOral<\/span><\/td>\nIn silico determination of the risk haplotype for developing preeclampsia<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Karyagina A.<\/span><\/td>\nPoster<\/span><\/td>\nDiversity and distribution of restriction-modification systems in natural mi-crobial multi-species community of Antarctic Deep Lake<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kazantsev F.<\/span><\/td>\nOral<\/span><\/td>\nFinding the ways for potential increasing of L-valine biosynthesis yield in C. glutamicum with mathematical modeling<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kazantseva A.<\/span><\/td>\nOral<\/span><\/td>\nThe use of genetic risk score approach to predict higher depression risk in young adults<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kelbin V.<\/span><\/td>\nPoster<\/span><\/td>\nWhole genome sequencing and development of KASP markers for genotyping the West Siberian wheat stem rust population<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Khalyavkin A.<\/span><\/td>\nOral<\/span><\/td>\nAging is a sequential multisystem syndrome, preventable and reversible under certain conditions<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kharchenko V.<\/span><\/td>\nOral<\/span><\/td>\nThe real function of the gene TERMINAL FLOWER 1<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kharevich A.<\/span><\/td>\nOral
\n<\/span><\/td>\n		Late Neanderthals of the Altay<\/span><\/td>\n\n
\n
\n

4.3 Human origin and evolution<\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

Kharkov V.<\/span><\/td>\nOral<\/span><\/td>\nDetailed phylogeny of the Y-chromosome haplogroup N1a2 in the populations of Siberia and Eastern Europe<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Khlebodarova T.<\/span><\/td>\nPoster<\/span><\/td>\nImpact of negative feedbacks on de novo pyrimidines biosynthesis in E.coli<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Khokhlov A.<\/span><\/td>\nOral<\/span><\/td>\nFighting Alzheimer’s disease: is there a chance to conquer?<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Khorn P.<\/span><\/td>\nPoster<\/span><\/td>\nProtein-lipid nanoparticles for studying G-protein coupled receptors functional properties<\/span><\/td>\n\n
\n
3.1 The role of synchrotron radiation and advanced instrumental techniques for macromolecular crystallography and pharmacology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Khrameeva E.<\/span><\/td>\nOral<\/span><\/td>\nMaps of chromatin conformation in the cerebral cortex<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Khristichenko M.<\/span><\/td>\nOral<\/span><\/td>\nComputation and tracing of periodic solutions of Marchuk-Petrov model<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Khrunin A.<\/span><\/td>\nWithout report<\/span><\/td>\nSearching genomic signals of natural selection and local adaptation in populations of Russia<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kilchevsky A.<\/span><\/td>\nOral<\/span><\/td>\nFundamental and Applied Aspects of Microbiome Genetics<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kim D.<\/span><\/td>\nOral<\/span><\/td>\nTranscriptional mutagenesis-based reporter system for the analysis of DNA repair<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kirillov B.<\/span><\/td>\nPoster<\/span><\/td>\nFinite element modeling of physical processes in multilayer spheroids based on Functional Representations<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kiryanova O.<\/span><\/td>\nPoster<\/span><\/td>\nThe new method of DNA barcoding<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kiryushkin A.<\/span><\/td>\nOral<\/span><\/td>\nDoes DEEPER ROOTING 1 (DRO1) gene of cucumber (Cucumis sativus L.) regulate a lateral root angle?<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kisaretova P.<\/span><\/td>\nPoster<\/span><\/td>\nMeta-analysis of transcriptomic changes in prefrontal cortex after chronic social defeat stress<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kiselev I.N.<\/span><\/td>\nPoster<\/span><\/td>\nA Delay Differential Equation approach to model the COVID-19 pandemic<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kiseleva A.<\/span><\/td>\nOral<\/span><\/td>\nDissection of candidate genes for grain texture in common wheat<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kisselevskaya-Babinina V.<\/span><\/td>\nOral<\/span><\/td>\nMarkov model of hospitalized patients with COVID-19<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kladova O.<\/span><\/td>\nPoster<\/span><\/td>\nActivity of natural polymorphic variants G118V and R149I of DNA polymerase \u041e\u0406<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Klemeshova D.<\/span><\/td>\nOral<\/span><\/td>\nAnalysis of behavioral and EEG responses given the performing tasks to control attention and behavior in children with emotional instability<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Klimenko A.<\/span><\/td>\nPoster<\/span><\/td>\nGenome assembly of a new Wolbachia pipientis strain: a promising source for studying Drosophila melanogaster endosymbiosis<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Klimenko A.<\/span><\/td>\nPoster<\/span><\/td>\nMODELLING OF ECO-EVOLUTIONARY DYNAMICS IN MICROBIAL COMMUNITIES WITH HAPLOID EVOLUTIONARY CONSTRUCTOR<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Klimenkov I.<\/span><\/td>\nWithout report<\/span><\/td>\nACTIN MICROFILAMENTS IN THE SUBMEMBRANE ZONE OF OLFACTORY RECEPTOR CELLS AS A POTENTIAL FACTOR IN THE REGULATION OF THEIR SENSITIVITY<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kobalo N.<\/span><\/td>\nOral<\/span><\/td>\nStationary and non-stationary mutagenesis in the SARS-CoV-2 genome<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kobzeva K.<\/span><\/td>\nPoster<\/span><\/td>\nGenes for aryl hydrocarbon receptor signaling are associated with uterine fibroids susceptibility<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Koksharova G.<\/span><\/td>\nPoster<\/span><\/td>\nDifferent approaches to chromosome rearrangement detection in the model cell line<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kolmykov S.<\/span><\/td>\nOral<\/span><\/td>\nTranscription factor binding sites: data integration, stable identifiers and incremental builds<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kolodkin A.<\/span><\/td>\nOral<\/span><\/td>\nROS networks: designs, aging, Parkinson’s disease and preci-sion therapies<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kolokoltsov V.<\/td>\nOral<\/td>\nFighting ticks with functional-analytic guns<\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kolosov A.<\/span><\/td>\nPoster<\/span><\/td>\nBioleaching of sulfide copper-nickel ores<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kolpakov F.<\/span><\/td>\nOral<\/span><\/td>\nSirius platform as environment for evolutionary development of mathematical models of complex biological systems<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Koltover V.K.<\/span><\/td>\nOral<\/span><\/td>\nlron-sulfur nitrosyl complexes as potential therapeutic agents for anti-aging pharmacology and radiation medicine<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Koltsova A.<\/span><\/td>\nPoster<\/span><\/td>\nEffect of estrogen and progesterone on the frequency and spectrum of karyotypically abnormal cells in cultured uterine leiomyomas<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Komyshev E.<\/span><\/td>\nPoster<\/span><\/td>\nAnalysis of the size and color characteristics of wheat grains and their relationship to storage time and germination<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Konanov D.<\/span><\/td>\nPoster<\/span><\/td>\nApplicability of the Oxford Nanopore sequencing technology to DNA modifications analysis<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kondakova E.<\/span><\/td>\nPoster<\/span><\/td>\nComprehensive biomarkers of accelerated aging and mortality risk in end-stage renal disease<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
K\u00f6nig C.<\/span><\/td>\nOral<\/span><\/td>\nCombined treatment with small molecules targeting c-FLIP and Mcl-1 promotes apoptosis and necroptosis in pancreatic cancer cells<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Konstantinova A.<\/span><\/td>\nPoster<\/span><\/td>\nTransfer Learning for protein stability prediction<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Konstantinovna A.<\/span><\/td>\nPoster<\/span><\/td>\nThe daily cycle of glutamate in the retina of OXYS rats during aging and the development of retinopathy<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kopylova G.<\/span><\/td>\nWithout report<\/span><\/td>\nInfluence of tropomodulin 1 on calcium regulation of actin-myosin interaction in the ventricles<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Korenskaia A.<\/span><\/td>\nOral<\/span><\/td>\nBioinformatic assessment of factors affecting the correlation between protein abundance and elongation efficiency in prokaryotes<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Korenskaia A.<\/span><\/td>\nPoster<\/span><\/td>\nIntegration of transcriptomic, genomic, and proteomic data in order to assess the impact of translation efficiency features on protein abundance for various prokaryotes<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kornienko T.<\/span><\/td>\nPoster<\/span><\/td>\nUsnic acid derivative antitumor, antimetastatic, and hematoprotective effects in the Lewis carcinoma model<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Korobeynikova A.<\/span><\/td>\nOral<\/span><\/td>\nLymphocyte migration factors in breast cancer: a transcriptome analysis<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Korobkov A.<\/span><\/td>\nPoster<\/span><\/td>\n\u041e\u0406-Turns Parameters Refinement Using Neutron Diffraction Data<\/span><\/td>\n\n
\n
3.1 The role of synchrotron radiation and advanced instrumental techniques for macromolecular crystallography and pharmacology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Korolenko T.<\/span><\/td>\nOral<\/span><\/td>\nNeurodegeneration and diabetes; positive effect of trehalose in behavior of db\/db mice, model of diabetes<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Korolenko T.<\/span><\/td>\nOral<\/span><\/td>\nAutophagy inducer trehalose positive effect in db\/db mice, genetic model of diabetes<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Korotkova A.<\/span><\/td>\nOral<\/span><\/td>\nDifferential Gene Expression Analysis in Barley Nud Gene Mutants<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kot E.<\/span><\/td>\nPoster<\/span><\/td>\nActivation of a Trk receptor is mediated by a disordered extracellular juxtamembrane region<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kot E.<\/span><\/td>\nPoster<\/span><\/td>\nNMR study of lipid\/protein interactions in trifluoroethanol-water mixtures proposes the strategy for the refolding of helical membrane proteins<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Koteneva E.<\/span><\/td>\nPoster<\/span><\/td>\nCreation of a collection of variants of the Bacillus anthracis 1 CO strain with different biological properties to study the adaptation of the anthrax microbe to different living conditions<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kotova T.<\/span><\/td>\nPoster<\/span><\/td>\nProtein design and crystallization trials for constitutively active CysLT2R with oncogenic L129Q mutation<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Koval O.<\/span><\/td>\nOral<\/span><\/td>\nNon-thermal atmospheric plasma in cancer therapy: cell death mechanisms and immunity<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kovalenko I.<\/span><\/td>\nPoster<\/span><\/td>\nEffects of chronic social stress on the expression of carcinogenesis-associated and apoptosis-associated genes in the hypothalamus of mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kovalev S.<\/span><\/td>\nWithout report<\/span><\/td>\nDistribution of total cholesterol and glucose parameters in a sample of Tuvans in Kyzyl<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kovaleva E.<\/td>\nPoster<\/td>\nOn the question of activity of oxidative branch of Pentose Phosphate shunt in pgl mutant of E. coli<\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kovner A.<\/span><\/td>\nOral<\/span><\/td>\nA new approach to stimulating the wound healing based on Opisthorchis felineus proteins<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kovrizhnykh V.<\/span><\/td>\nPoster<\/span><\/td>\nSalicylic acid and abiotic stress: nature of interaction<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kovtun A.<\/span><\/td>\nOral<\/span><\/td>\nBioinformatics approaches and methods for analysis of gut microbiota<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kozhekin M.<\/span><\/td>\nPoster
\n<\/span><\/td>\n		Wheat yield estimation based on analysis of UAV images at low altitude<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kozhevnikova O.<\/span><\/td>\nPoster<\/span><\/td>\nAqueous humor complement factor I concentration is associated with SNP of CFI gene<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kozhevnikova O.<\/span><\/td>\nOral<\/span><\/td>\nPharmacogenetic influence of complement genes genotypes on the response to anti-VEGF treatment for age-related macular degeneration in a Russian population<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kozlova A.<\/span><\/td>\nPoster<\/span><\/td>\nSearch and analysis of prophages related to phage AP-16-3 in genomes of Sinorhizobium spp.<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kozlova O.<\/span><\/td>\nPoster<\/span><\/td>\nFirst insight into regeneration potential of the ears of Acomys cahirinus in the single-cell resolution<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kozlova T.<\/span><\/td>\nPoster<\/span><\/td>\nMorphological feature of the postnatal blood-brain barrier formation as one of predictors of AD-like pathology development in rats<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Krasikova A.<\/span><\/td>\nOral<\/span><\/td>\nChicken oocyte transcriptome: RNAseq of nuclear and cytoplasmic long and short RNAs<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Krasikova Yu.<\/span><\/td>\nOral<\/span><\/td>\nNER additional players at the repair late stages<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Krasner K.<\/span><\/td>\nOral<\/span><\/td>\nRelex Smile lenticules as a source of obtaining stromal corneal cells<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Krasnova O.<\/span><\/td>\nPoster<\/span><\/td>\nAutophagy activation in 3D-spheroid leads to the mesenchymal stem cells rejuvenation<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Krinitsina A.<\/span><\/td>\nWithout report<\/span><\/td>\nAbility to obtain of ITS1 and ITS2 DNA barcode for metabar-coding of historical herbarium specimens.<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kriukov D.<\/span><\/td>\nOral<\/span><\/td>\nLongevity And Rejuvenation Effects Of Cell Reprogramming Are Decoupled From The Loss Of Somatic Identity<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Krivorotko O.<\/span><\/td>\nOral<\/span><\/td>\nMathematical modeling and identifiability aspects in epidemiology<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kropochev A.<\/span><\/td>\nOral<\/span><\/td>\nSynthetic community analysis by the trait-based method of quantitative assessment of ecological functional groups<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kubareva E.<\/span><\/td>\nOral<\/span><\/td>\nN2-heteroaryl modified guanine in DNA induces the initiation of mismatch repair<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kudryavtseva O.<\/span><\/td>\nPoster<\/span><\/td>\nPolymorphism in genes involved in glutathione metabolism is associated with the risk of uterine fibroids<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kukuman D. (Golubev D.<\/span>)
\n<\/span><\/td>\n		Oral<\/span><\/td>\nGeroprotective properties of Vaccinium uliginosum L. and Empetrum nigrum ssp. hermaphroditum L. on the Drosophila melanogaster model<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kukushkina I.<\/span><\/td>\nOral<\/span><\/td>\nRole of Hsp70 chaperones in age-related changes in skeletal muscle proteome in Drosophila melanogaster<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kulaeva E.<\/span><\/td>\nPoster<\/span><\/td>\nExploring lncRNA-mRNA signatures in relapsed acute myeloid leukemia compared with primary tumors<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kulakovskiy I.<\/span><\/td>\nOral<\/span><\/td>\nInterpreting non-coding genome variation with DNA sequence motifs<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kulbachinskiy A.<\/span><\/td>\nOral<\/span><\/td>\nBacterial Argonaute proteins as sensors of DNA damage and repair<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kulms D.<\/span><\/td>\nOral<\/span><\/td>\nFocal adhesion kinase plays a dual role in TRAIL resistance and metastatic outgrowth of malignant melanoma<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kulyashov M.<\/span><\/td>\nOral<\/span><\/td>\nDeciphering a Cu-dependent metabolism of the Methylotuvimicrobium alcaliphilum 20ZR methanotroph by integration of transcriptomics data into a genome-scale metabolic model.<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kupriyanova E.<\/span><\/td>\nWithout report<\/span><\/td>\nMetatranscriptomic analysis of the stomach antrum vs corpus biopsy microbiota in patients with Helicobacter pylori infection<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kurgina T.<\/span><\/td>\nOral<\/span><\/td>\nHPF1 can promote opposite effects on different stages of PARP1 and PARP2 autoPARylation and histone modification<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kurochkina N.<\/span><\/td>\nOral<\/span><\/td>\nEffect of aging, chronic inflammation and long-term physical disability on human skeletal muscle transcriptome<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kutuzov M.<\/span><\/td>\nOral<\/span><\/td>\nPARP2 and BER in the nucleosomal context<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kuzmin A.<\/span><\/td>\nOral<\/span><\/td>\nStructure and dynamics of the SARS-CoV-2 envelope protein<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kuznetsov N.<\/span><\/td>\nOral<\/span><\/td>\nA conserved mechanism of damage recognition by apurinic\/apyrimidinic endonucleases from different structural families<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Kuznetsova A.<\/span><\/td>\nPoster<\/span><\/td>\nThe pre-steady state analysis of human terminal deoxynucleotidyltransferase conformational dynamics under DNA synthesis<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lachynova M.<\/span><\/td>\nOral<\/span><\/td>\nDevelopment and application of a computational pipeline to analyze genes encoding phospholipase domains in flatworms<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lakhno V.<\/span><\/td>\nOral<\/span><\/td>\nBioinformatics and nanobioelectronics. Informatics based on biocomputer technologies<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lakhova T.<\/span><\/td>\nPoster<\/span><\/td>\nReconstruction of mathematical frame models of bacterial transcription regulation based on transcriptional regulatory networks<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lalova M.<\/span><\/td>\nPoster<\/span><\/td>\nStudy of the scaling possibility of the process of obtaining feed protein from natural gas<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Larichev K.<\/span><\/td>\nPoster<\/span><\/td>\nDevelopment of CRISPR\/Cas9-based genome editing constructs for Nevsky and Udacha potato cultivars<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lashin S.<\/span><\/td>\nOral<\/span><\/td>\nOn organizing a software platform for seeking biotechnologically important features in bacteria<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lavrekha V.<\/span><\/td>\nPoster<\/span><\/td>\nCisCross web service: a gene set enrichment analysis to predict the upstream regulators in Arabidopsis thaliana<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lavrik I.<\/span><\/td>\nOral<\/span><\/td>\nDelineating molecular mechanisms of c-FLIP isoforms as control checkpoints of DED filament assembly and caspase-8 activation<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lavrik O.<\/span><\/td>\nOral<\/span><\/td>\nRegulation of PARP1 activity by its protein partners<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Letyagin A.<\/span><\/td>\nOral<\/span><\/td>\nArtificial intelligence (AI) of 3D MRI images for neurooncology<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Levchenko I.<\/span><\/td>\nOral<\/span><\/td>\nStudy of the mechanism of reactions catalyzed by complexes of cytochrome c with cardiolipin<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Levitsky V.<\/span><\/td>\nOral<\/span><\/td>\nWeb-MCOT server for motifs co-occurrence search in ChIP-seq data<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Litti Y.<\/span><\/td>\nOral<\/span><\/td>\nEffect of organic loading rate on the biohythane production in the continuous two-stage anaerobic digestion of confectionery wastewater<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Litunenko D.<\/span><\/td>\nOral<\/span><\/td>\nA device reporting cell culture growth in CO2 incubator via Bluetooth<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Loboda A.<\/span><\/td>\nOral<\/span><\/td>\nA platform for case-control matching enables association studies without genotype sharing<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Logachev A.<\/span><\/td>\nOral<\/span><\/td>\nPangenome construction and analyses for a population of flax parasitic fungus Fusarium oxysporum f.sp. lini<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Logofet D.<\/span><\/td>\nOral<\/span><\/td>\nAlpine resort or battle for survival: A didactic story about short-lived perennials and their matrix models<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lukyanchikova V.<\/span><\/td>\nOral<\/span><\/td>\nInsights into the 3D-genome organization in malaria mosquitoes<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lushpa V.<\/span><\/td>\nPoster<\/span><\/td>\nChanges in the structure and dynamics of the intracellular domain of Toll-like receptors 1 under the action of Zn2+<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lyapina E.<\/span><\/td>\nOral<\/span><\/td>\nAllosteric ligand subpocket of S1P5 as a determinant of inverse agonism and ligand specificity<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lyamzaev K.
\n<\/span><\/td>\n		Oral
\n<\/span><\/td>\n		Innate immunity as an executor of phenoptosis \u2013 the programmed death of individual organisms for the sake of the whole population<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Lyukmanova E.<\/span><\/td>\nOral<\/span><\/td>\nMembrane Environment Regulates Interaction of Three-Finger Toxins with Nicotinic Acetylcholine Receptors<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Makarikova O.<\/span><\/td>\nPoster<\/span><\/td>\nStudy of distribution and evolution of restriction-modification systems with restriction endonuclease of the AlwI family<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Makarova A.<\/span><\/td>\nOral<\/span><\/td>\nMechanism of primase activity human primase polymerase PrimPol<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Makarova V.<\/span><\/td>\nWithout report<\/span><\/td>\nExtracellular matrix in experimental hepatocarcinoma-29<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Makhnovskii P.<\/span><\/td>\nOral<\/span><\/td>\nAlternative transcription start sites contribute to acute-stress\u2013induced transcriptome response in human skeletal muscle<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Maluchenko N.<\/span><\/td>\nOral<\/span><\/td>\nNucleosome reorganization by PARP-1<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Malyugin E.<\/span><\/td>\nPoster<\/span><\/td>\nComputer annotation of plant protein sequences based on sequence similarity and orthology<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Malyutina S.<\/span><\/td>\nOral<\/span><\/td>\nVascular wall and molecular markers of age in an ageing population<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Manakhov A.<\/span><\/td>\nOral<\/span><\/td>\nNew generation dressings for wound healing: combined anti-bacterial activity and boosted regeneration process<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Markova E.<\/span><\/td>\nOral<\/span><\/td>\nPsychoneuroimmunomodulating effect of immune cells in depressive-like mice.<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Maslov D.<\/span><\/td>\nOral<\/span><\/td>\nInsights into Opisthorchis felineus genome organization.<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Maslova A.<\/span><\/td>\nOral<\/span><\/td>\nChromosome structural variations of the chicken erythroblast HD3 cell line identified by Hi-C<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Matveenko A.<\/span><\/td>\nOral<\/span><\/td>\nAmplification of the release factor genes as a mechanism of adaptation in yeast<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Matyushkina D.<\/span><\/td>\nPoster<\/span><\/td>\nAutoimmune effect of antibodies against the SARS-Cov-2 nu-cleoprotein<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Medvedeva J.<\/span><\/td>\nOral<\/span><\/td>\nFunctional annotation of lncRNAs involved in epigenetic regulation in normal and pathological processes<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Meger Y.<\/span><\/td>\nPoster<\/span><\/td>\nPeroxidase gene family in Prunus persica (L.)<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Meger Y.<\/span><\/td>\nPoster<\/span><\/td>\nPhylogeography and local endemism of Artemia salina (Cruatacea, Anostraca) in the hypersaline Lake Sasyk-Sivash (Crimea)<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Melikhova A.<\/span><\/td>\nOral<\/span><\/td>\nTextual and Structural Analysis of RNA Polymerase II Core Promoter of Evolutionary Diverse Organisms<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Menzorov A.<\/span><\/td>\nPoster<\/span><\/td>\nProduction of fox FGF2 for fox pluripotent stem cell culture<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Meshcheryakov G.<\/span><\/td>\nOral<\/span><\/td>\nBeta negative binomial mixture model facilitates identification of allele-specific gene regulation in high-throughput sequencing data<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Meshcheryakova I.<\/span><\/td>\nPoster<\/span><\/td>\nThe minimal medium irradiated with terahertz radiation induces proteins of homeostasis of transition metal ions and represses proteins of amino acid metabolism when E. coli cells are cultivated on it<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Michelle Liou<\/span><\/td>\nOral
\n<\/span><\/td>\n		Approach-avoidance conflicts<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mikhaylova Y.<\/span><\/td>\nOral<\/span><\/td>\nWhole-genome analysis of Staphylococcus aureus isolates from ready-to-eat food<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Milakhina N.<\/span><\/td>\nOral<\/span><\/td>\nCorrelation of resting-state EEG indicators with personal and genetic characteristics of subjects living in different socio-climatic conditions<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Milyaeva P.<\/span><\/td>\nOral<\/span><\/td>\nThe role of the rhino gene in the transcriptional regulation of different piRNA clusters<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mineev K.<\/span><\/td>\nOral<\/span><\/td>\nStructure of Toll-like receptors: the input from solution NMR spectroscopy<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Valova Ya.<\/span><\/td>\nPoster<\/span><\/td>\nScreening of the pathogenic variant c.3751dupA of the BRCA2 gene in women from the Republic of Bashkortostan<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Minina J.<\/span><\/td>\nWithout report<\/span><\/td>\nQuantitative estimation of trisomy on chromosome 6 in embryonic fibroblasts of mice carrying duplications obtained using CRISPR\/Cas9 technology<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Miroshnichenko M.<\/span><\/td>\nOral<\/span><\/td>\nMathematical modeling of SARS-CoV-2 infection process and virus spreading in the human body considering B and T cell-mediated immune responses<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Miroshnichenko S.<\/span><\/td>\nPoster<\/span><\/td>\nEffect of a sorbent on aluminum oxide and polydimethylsiloxane on thymus cellular composition in mice under 24-hour lighting<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mishchenko E.<\/span><\/td>\nPoster<\/span><\/td>\nTHE CURRENT STATUS OF MECHANOSENSITIVE MOLECULAR INTERACTIONS IN ATHEROGENIC REGIONS OF THE ARTERIES: DEVELOPMENT OF ATHEROSCLEROSIS<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mishin A.<\/span><\/td>\nOral<\/span><\/td>\nOverview of lipid-sensing GPCR receptors structure and function<\/span><\/td>\n\n
\n
3.1 The role of synchrotron radiation and advanced instrumental techniques for macromolecular crystallography and pharmacology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mokrushnikov P.<\/span><\/td>\nPoster<\/span><\/td>\nLipids lateral diffusion study associated with structural changes in cytoplasmic membranes<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Morgunova G.<\/span><\/td>\nOral<\/span><\/td>\nRelationship between basal metabolic rate, muscle strength and aging<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Morozov A.<\/span><\/td>\nOral<\/span><\/td>\nElusive recurrent bacterial contamination in a diatom culture: a case study<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Morozova K.<\/span><\/td>\nWithout report<\/span><\/td>\nMnFe2O4 nanoparticles invasion in nose-associated lymphoid tissue<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Morozova M.<\/span><\/td>\nWithout report<\/span><\/td>\nInvestigation of influence of the gut microbial composition associated with colitis on mice behavior<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Moshensky D.<\/span><\/td>\nPoster<\/span><\/td>\nEssential and advantageous genes detection in prokaryotic genomes<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Moshkin M.<\/span><\/td>\nOral<\/span><\/td>\nDevelopmental instability in mouse conceived by in vitro fertilization<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Moskalensky A.<\/span><\/td>\nPoster<\/span><\/td>\nNucleoside analogues with photoremovable protecting groups for efficient light-controlled inhibition of viral infection<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Moskalensky A.<\/span><\/td>\nPoster<\/span><\/td>\nStudy of platelet activation in a system continuously releasing nitric oxide<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mozheiko E.<\/span><\/td>\nPoster
\n<\/span><\/td>\n		Efficient detection of structural variations using capture-Hi-C data<\/span><\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mukhin A.<\/span><\/td>\nOral<\/span><\/td>\nData lake platform of the bacterial strain properties for microbiology<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Muraleva N.<\/span><\/td>\nPoster<\/span><\/td>\nMEK1\/2-ERK 1\/2\u2013dependent alphaB-crystallin phosphorylation in retina: a focus on aging and age-related macular degeneration<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mursalimov S.<\/span><\/td>\nOral<\/span><\/td>\nProcessing of serial microscopic images for 3D reconstruction of plant tissues<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Murtaza I.<\/span><\/td>\nOral<\/span><\/td>\nProfiling of targeted miRNAs (8-mer) for the genes involved in type 2 diabetes mellitus and cardiac hypertrophy<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Alborova I.<\/td>\nOral<\/td>\nArchaeology, anthropology and paleogenetics of the Fatyanovo culture — new results<\/td>\n\n
\n
4.3 Human origin and evolution<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mustafin Z.<\/span><\/td>\nOral<\/span><\/td>\nEvolutionary analysis of gene networks with Orthoweb software<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Mutovina A.<\/span><\/td>\nPoster<\/span><\/td>\nDifferent immune challenges alter hypothalamus microglia and astrocytes activity in the adult BTBR and C57Bl\/6 mice.<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Myakinkov I.<\/span><\/td>\nOral<\/span><\/td>\nDevelopment of a mESC line for studying the condensin II influence on interphase 3D genome organization<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nancy Joseline Ontiveros Euan<\/span><\/td>\nPoster<\/span><\/td>\nG-quadruplex structures in the genomes of Human Papilomaviruses 16, 18 and 58: Promising molecular targets<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Natashin P.<\/span><\/td>\nPoster<\/span><\/td>\nCan Ca2+-regulated photoproteins perform different functions than bioluminescence?<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Naumenko K.<\/span><\/td>\nPoster<\/span><\/td>\nRegulation of poly(ADP-ribose) polymerase 1 activity by Y-box-binding protein 1<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Naumenko V.<\/span><\/td>\nOral<\/span><\/td>\nEffects of amisulpride on the Tau-protein hyperphosphori-lation in OXYS rats- a model of sporadic Alzheimer’s disease<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Naumoff D.<\/span><\/td>\nOral<\/span><\/td>\nHigh glycolytic potential of Humisphaera borealis, a planctomycete of the class Phycisphaerae<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nazarova G.<\/span><\/td>\nOral<\/span><\/td>\nHereditary predisposition to seizures in response to handling and its relation to life expectancy in the water vole (Arvicola amphibius L.)<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nebrat V.<\/span><\/td>\nOral<\/span><\/td>\nHuman water model: interstitium and meridians of traditional Chinese medicine<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nedoluzhko A.<\/td>\nOral
\n<\/span><\/td>\n		Ancient DNA analysis of mummies from the post-Scythian Oglakhty cemetery in South Siberia.<\/span><\/td>\n\n
\n
4.3 Human origin and evolution<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Neganova I.<\/span><\/td>\nOral<\/span><\/td>\nCreation of the mathematical model for the prognostic analysis of human pluripotent stem cells based on their morphological portrait.<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nemashkalova E.<\/span><\/td>\nWithout report<\/span><\/td>\nThe low-molecular-weight ligands of human serum albumin, promoting its interaction with amyloid \u041e\u0406 peptide<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nenad Mitic<\/span><\/td>\nOral<\/span><\/td>\nLarge scale clustering in structural and evolutionary analysis of SARS-CoV-2 proteins<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nenasheva N.<\/span><\/td>\nPoster<\/span><\/td>\nLess is more: filtering and trimming ONT sequencing data<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Neverova G.<\/span><\/td>\nOral<\/span><\/td>\nEvolutionary dynamics of predator in a community of interacting species<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Neverova G.<\/span><\/td>\nPoster<\/span><\/td>\nModeling dynamics of a plankton community using a discrete-time model<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nizhnikov A.<\/span><\/td>\nOral<\/span><\/td>\nAmyloid formation is a widespread phenomenon in land plant species<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nostaeva A.<\/span><\/td>\nOral<\/span><\/td>\nThe influence of environmental and genetic factors on the portability of polygenic risk score models across diverse ancestry groups<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Novikov K.<\/span><\/td>\nOral<\/span><\/td>\nCoupled agent-based model of COVID-19 and major depressive disorder spread in Moscow<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Novikova P.<\/span><\/td>\nOral<\/span><\/td>\nAdaptation to polyploidy in Siberian Arabidopsis lyrata<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nuriddinov M.<\/span><\/td>\nOral<\/span><\/td>\nSimulating of 3D genome data with predefined chromosomal rearrangements<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nurislamov A.<\/span><\/td>\nOral<\/span><\/td>\nSingle-cell DNA methylation analysis of chicken diplotene oocytes<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Nurmukanova V.<\/span><\/td>\nPoster<\/span><\/td>\nApplication of a novel k-mer primer design algorithm for detecting antibiotic resistance determinants<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Obanina N.<\/span><\/td>\nPoster<\/span><\/td>\nER stress in mice prefrontal cortex pyramidal neurons in peripheral tumor growth<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Okhrimenko I.<\/span><\/td>\nOral<\/span><\/td>\nMicrobial light-driven ion pumps and channels<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ola Mohamed<\/span><\/td>\nOral<\/span><\/td>\nNUMERICAL TREATMENT FOR VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS WITH TIME LAG USING Theta-METHOD<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Olga S.<\/span><\/td>\nOral<\/span><\/td>\nRevealing the molecular basis of interactions of COVID-19 with hyperglycemia and diabetic complications based on the bioinformatics analysis of the gene networks<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Omelyanchuk N.<\/span><\/td>\nPoster<\/span><\/td>\nSalicylic acid treatment changes plant root system patterning<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Orlov Yu<\/span><\/td>\nOral<\/span><\/td>\nAnalysis of multiple transcription factors binding in the model plant genomes<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Orlov Yu.<\/span><\/td>\nPoster<\/span><\/td>\nArtificial Intelligence implementation in pharmaceutical products lifecycle<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Orlov Yu.<\/span><\/td>\nPoster<\/span><\/td>\nDigital medicine education problems and online solutions<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Oshchepkov D.<\/span><\/td>\nPoster<\/span><\/td>\nStress reactivity, susceptibility to hypertension, and differential expression of genes in hypertensive compared to normotensive patients<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Osypov A.<\/span><\/td>\nPoster<\/span><\/td>\nEvolutionary role of genomic DNA physical properties in the realization of its elements’ biological functions<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ovsyannikova A.<\/span><\/td>\nOral<\/span><\/td>\nPossibilities of molecular genetic research in the diagnosis of MODY diabetes<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pakharukov Yu.<\/span><\/td>\nPoster<\/span><\/td>\nAnthelmintic activity of antioxidants: in vitro effects on the liver fluke Opisthorchis felineus<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pakharukova M.<\/span><\/td>\nOral<\/span><\/td>\nTrilateral relationship: food-borne trematodes, microbiota, and experimental host<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Palyanov A.<\/span><\/td>\nOral<\/span><\/td>\nTowards artificial minds through computer simulation of natural ones, from simple to more complex<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Panov A.<\/span><\/td>\nOral<\/span><\/td>\nCurrent views on the mechanisms of aging<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Panova V.<\/span><\/td>\nPoster<\/span><\/td>\nClassification of families of DNA-recognizing protein domains based on structural features of DNA-protein complexes<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Parshin D.<\/span><\/td>\nOral<\/span><\/td>\nModern trends in personalized hemodynamics<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pasyukova E.<\/span><\/td>\nOral<\/span><\/td>\nNatural variability in the regulatory regions of longevity genes and ecological adaptation<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pelevina A.<\/span><\/td>\nPoster<\/span><\/td>\n\u0420 hosphate-accumulating microbial community selection in a sequencing batch reactor (SBR)<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Peltek S.<\/span><\/td>\nOral<\/span><\/td>\nIndustrial enzymes production based on genetically engineered microorganisms strains of super-producers<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Peltek S.<\/span><\/td>\nOral<\/span><\/td>\nThe impact of terahertz radiation on living systems<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Penenko A.<\/span><\/td>\nOral<\/span><\/td>\nInverse modeling of biological processes in sensitivity operator framework<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Penkin L.<\/span><\/td>\nOral<\/span><\/td>\nThe potential usability of Oxford Nanopore Technology for revealing of SARS-CoV-2 dual infection and intra-host viral variability in clinical samples<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Peretolchina T.<\/span><\/td>\nPoster<\/span><\/td>\nGenetic diversity of bryozoan relict Hislopia placoides (Gymnolaemata: Hislopiidae) in Lake Baikal<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Permyakova E.<\/span><\/td>\nOral<\/span><\/td>\nCurdlan\/Chitosan\/Ag NPs Foams for healing chronic wounds<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pervfil`ev P.<\/span><\/td>\nPoster<\/span><\/td>\nNatural variation of E1-E4, E9, GmFT5a genes in 180 soybean accessions adapted to Novosibirsk regions<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Petrakova V.<\/span><\/td>\nOral<\/span><\/td>\nMathematical modeling of the dynamics of incomes of the population under epidemic process<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Petrova A.<\/span><\/td>\nPoster<\/span><\/td>\nRole of the formation of fibers with a tertiary cell wall in the biomechanical system of the whole plant<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Petrushin I.<\/span><\/td>\nOral<\/span><\/td>\nDiversity of CRISPR arrays identified into plant mitochondrial genomes<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Peunov D.<\/span><\/td>\nPoster<\/span><\/td>\nAnalysis of changes in microglia and cerebral endothelium in hippocampus of OXYS rats during progression of Alzheimer’s disease-like pathology.<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pilipenko A.<\/td>\nOral
\n<\/span><\/td>\n		Reconstruction of genetic history in Southern Siberia by paleogenetic study of diachronic population samples<\/span><\/td>\n\n
\n
\n

4.3 Human origin and evolution<\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

Pimenov N.<\/span><\/td>\nOral<\/span><\/td>\nMicrobial anammox communities: structure, physiological and biochemical characteristics, and possibilities of directed modification.<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pletenev I.<\/span><\/td>\nOral<\/span><\/td>\nWhole-genome analysis of epigenetic control of human GABAergic interneuron differentiation<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Plotnikov E.<\/span><\/td>\nOral<\/span><\/td>\nAccumulation of damaged mitochondrial DNA in tissues of aged rats and the impact of dietary restriction on this process<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Podkolodnyy N.<\/span><\/td>\nOral<\/span><\/td>\nAge-related alterations in the mouse liver circadian clock are caused by an imbalance of the NAD + consumption system<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Poleksic A.<\/span><\/td>\nOral<\/span><\/td>\nNon-Euclidean machine learning methods in systems biology<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ponomarenko M.<\/span><\/td>\nOral<\/span><\/td>\nBioinformatics search for genetic markers of socially significant diseases in promoters of human genes<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Popov A.<\/span><\/td>\nPoster<\/span><\/td>\nAssessment of the Nucleotide Excision Repair System Activity Ex Vivo<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Popov D.<\/span><\/td>\nOral<\/span><\/td>\nRole of HSP70 proteins in regulation of mitochondrial protein content in skeletal muscle<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Poroikov V.<\/span><\/td>\nOral<\/span><\/td>\nDrug repurposing for COVID-19 therapy: challenges and opportunities<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Poroshina A.<\/span><\/td>\nPoster<\/span><\/td>\nInfluence of breeding strategy on genetic diversity of individuals<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Potokina E.<\/span><\/td>\nPoster<\/span><\/td>\nGBS assaying of F1 population obtained from self-pollination of muscadine grapevine cv. Dixie (Muscadinia rotundifolia Michaux.)<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Potsenovskaia E.<\/span><\/td>\nOral<\/span><\/td>\nNF-Y genes in the somatic embryogenesis<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Povkhova L.<\/span><\/td>\nPoster<\/span><\/td>\nTranscriptome analysis of flax seeds and capsules<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pristyazhnyuk I.<\/span><\/td>\nPoster<\/span><\/td>\nPluripotent stem cell lines from two patients with COH1 gene mutations as the valuable in vitro model of Cohen Syndrome<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Prokofiev V.<\/span><\/td>\nPoster<\/span><\/td>\nTopology of the associative cytokine gene network in primary open-angle glaucoma<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Prokofiev V.<\/span><\/td>\nPoster<\/span><\/td>\nIntegrated bioinformatics analysis of the gene structure of polygenic diseases to develop effective methods for their early prognosis<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pronozin A.<\/span><\/td>\nOral<\/span><\/td>\nICAnnoLncRNA: automatic pipeline of identification, classification and annotation of long noncoding RNAs.<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Proskuryakova A.<\/span><\/td>\nOral<\/span><\/td>\nChromosome evolution in Ruminantia<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Prostova M.<\/span><\/td>\nPoster<\/span><\/td>\nNoncanonical prokaryotic X family DNA polymerases<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pupyshev A.<\/span><\/td>\nPoster<\/span><\/td>\nOral trehalose intake as an experimental therapy for Alzheimer’s disease in a mouse model induced by the central administration of amyloid-\u041e\u0406<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pushimna E.<\/span><\/td>\nOral<\/span><\/td>\nAnalysis of environment adaptation features of the bacteria of Flavobacterium family by comparative genomics<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pushkova E.<\/span><\/td>\nPoster<\/span><\/td>\nTranscriptomic analysis of generative and vegetative organs of male and female poplar plants<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Pyakillya B.<\/span><\/td>\nOral<\/span><\/td>\nA Bayesian Approach to lipophilicity prediction<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Rachkovskaya L.<\/span><\/td>\nPoster<\/span><\/td>\nEffect of silver-containing sorbent on erythrocytes of erythrocyte mass during perfusion in vitro Rachkovskaya L.N.<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Raditsa V.<\/span><\/td>\nPoster<\/span><\/td>\nMassive comparison of the \u2018genomic\u2019 and \u2018shuffled\u2019 background set generation approaches for efficiency of de novo motif search in A.thaliana ChIP-seq data<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ratushnyak A.<\/span><\/td>\nOral<\/span><\/td>\nThe emergence and evolution of living systems compensating for entropy processes<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Redina O.<\/span><\/td>\nWithout report
\n<\/span><\/td>\n		ISIAH rat genotype-specific SNPs located at microRNA-binding sites in the 3’UTRs of genes associated with behavior and arterial hypertension<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Revel-Muroz A.<\/span><\/td>\nOral<\/span><\/td>\n3D-MAGs — spatial conformations of individual microbial genomes reconstructed from Hi-C metagenomes<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Revva P.<\/span><\/td>\nPoster<\/span><\/td>\nReconstruction and analysis of the gene network of hepatocellular carcinoma under mechanical stress of the cell<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ritter G.<\/span><\/td>\nPoster
\n<\/span><\/td>\n		The novel radioprotective agent. Characterization of the substance and the mechanism of its action<\/td>\n11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/td>\n<\/tr>\n
Rodic A.<\/span><\/td>\nOral<\/span><\/td>\nModeling the COVID-19 transmission dynamics and identifying meteorological and sociodemographic predictors<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Romanenko S.<\/span><\/td>\nOral<\/span><\/td>\nThe cytogenetic map of the Nile crocodile (Crocodylus niloticus, Crocodyli-dae, Reptilia) with in situ localization of major tandemly arranged repetitive DNAs<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Romanova E.<\/span><\/td>\nPoster<\/span><\/td>\nThe architecture of the large mitochondrial genome of a pelagic amphipod Macrohectopus branickii, and mitochondrial genome length variability in animals<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Romanova V.<\/span><\/td>\nWithout report<\/span><\/td>\nHexadecane-induced stress response of hydrocarbon-oxidizing actinobacterial strain Tsukamurella tyrosinosolvens PS2<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Romashchenko \u0410.<\/span><\/td>\nOral<\/span><\/td>\nEffect of divalent cations on the uptake of Mn3O4 nanoparticles by olfactory epithelial cells<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Romashov G.<\/span><\/td>\nWithout report<\/span><\/td>\nSearch for convergently evolving and selected in parallel amino acids in domestic and wild animals<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Rubel M.<\/span><\/td>\nOral<\/span><\/td>\nDNA-nanomachines for nucleic acid detection<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Rudnitskaya E.<\/span><\/td>\nOral<\/span><\/td>\nAlteration of hippocampal glial support during early postnatal development as a possible premise of Alzheimer’s disease<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Rumyantseva Yu.<\/span><\/td>\nWithout report<\/span><\/td>\nEvaluation of the regulatory potential of polymorphic variants of complement system genes associated with age-related macular degeneration<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Rybina O.<\/span><\/td>\nOral<\/span><\/td>\nTranscription regulation in aging and lifespan control<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Rykova E.<\/span><\/td>\nOral<\/span><\/td>\nThe genome-wide search of SNPs in 3\u2019-UTR microRNA target sequences associated with individual drug susceptibility<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ryumina E.<\/span><\/td>\nOral<\/span><\/td>\nHigher order chromatin structure: new insight with novel correlative approach<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sadovskaya A.<\/span><\/td>\nOral<\/span><\/td>\nComputational approach for searching bioactivity of natural products based on their 2D chemical structure<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Saik O.<\/span><\/td>\nPoster<\/span><\/td>\nUncovering the genes linking glucose variability with endothelial dysfunction in diabetes by the analysis of gene networks<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Salina E.<\/span><\/td>\nOral<\/span><\/td>\nTHE DIVERGENCE OF WHEAT 5B CHROMOSOMES DURING EVOLUTION AND ITS IMPACT ON RECOMBINATION SUPPRESSION.<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Salmina A.<\/span><\/td>\nOral<\/span><\/td>\nAberrant neuroplasticity in aging and neurodegeneration associated with deregulation of neurogenesis and angiogenesis<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Salmina A.<\/span><\/td>\nOral<\/span><\/td>\nModern models of brain diseases for translational studies<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Salnikov P.<\/span><\/td>\nOral<\/span><\/td>\nThe tissue-specific relationship between 3D genome organization and gene expression at the mouse Slc29a3\/Unc5b locus<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Saltykov M.<\/span><\/td>\nOral<\/span><\/td>\nA heuristic approach to estimation of ecosystem stability<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sannikova A.<\/span><\/td>\nWithout report<\/span><\/td>\nNatural variations in telomere lengths in different Bryophytes<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sannikova T.<\/span><\/td>\nOral<\/span><\/td>\nSeeking the threshold for herd immunity in the synthetic population of a medium-sized city<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Saprygin A.<\/span><\/td>\nOral<\/span><\/td>\nBehavioral and neurophysiological study of subject’s personality traits under recognition of sentences about self and others<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Saranchina A.<\/span><\/td>\nOral<\/span><\/td>\nGenetic variety of Baikal endemic amphipods (Crustacea: Amphipoda) Eulimnogammarus verrucosus (Gerstf., 1858) in the Angara river<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Savinkova M.<\/span><\/td>\nOral<\/span><\/td>\n3D-2 heterogeneous breast cancer models<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Savkin I.<\/span><\/td>\nOral<\/span><\/td>\nEffects of the original synthetic ligand of benzodiazepine receptors in long-term alcoholized mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Savostyanov A.<\/span><\/td>\nOral<\/span><\/td>\nGenetic markers and neurophysiological correlates of the psy-chological personality traits among people from different re-gions of Siberia<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Savvina M.<\/span><\/td>\nOral<\/span><\/td>\nDNA-microarray as an alternative diagnostic tool for targeted genetic carrier screening in population of Yakut ethnic group<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Savyuk M.<\/span><\/td>\nWithout report<\/span><\/td>\nCalcium activity of neuron-glial networks upon HIF prolyl hydroxylase inhibition in hypoxia in vitro<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Saydakova S.<\/span><\/td>\nPoster<\/span><\/td>\nDistribution of cell junction proteins in the descending colon of Muc2 mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Schegoleva A.<\/span><\/td>\nOral<\/span><\/td>\nMutation landscape of non-small cell lung cancer with a high risk of metastasis and recurrence<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sedykh S.<\/span><\/td>\nPoster<\/span><\/td>\nMilk exosomes \u2013 perspective agents for drug delivery<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Semina E.<\/span><\/td>\nPoster<\/span><\/td>\nIdentification of a novel small RNA encoded in the mouse urokinase receptor uPAR gene (Plaur) and its molecular targets<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Semina E.<\/span><\/td>\nPoster<\/span><\/td>\nTargeting urokinase receptor uPAR in cancer: high expectations, modest achievements<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Senchurova S.<\/span><\/td>\nPoster<\/span><\/td>\nThe role of active-site amino acids in template-independent DNA synthesis by human terminal deoxynucleotidyl transferase<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Serebrennikova M.<\/span><\/td>\nOral<\/span><\/td>\nDevelopment of a searching algorithm for new cell-penetrating peptides based on machine learning methods<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Seregin A.<\/span><\/td>\nOral<\/span><\/td>\nProtective properties of DCD and LRP2 proteins in schizo-phrenia and bipolar disorder<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Serenko E.<\/span><\/td>\nOral<\/span><\/td>\nCorrection of the aggressive behavior by immune cells modu-lated ex vivo by psychoactive drug<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sergushichev A.<\/span><\/td>\nOral<\/span><\/td>\nGESECA: Gene Set Co-regulation Analysis<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Seryapina A.<\/span><\/td>\nWithout report<\/span><\/td>\nMetabolic markers of hypertension in ISIAH rats<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shaburova E.<\/span><\/td>\nPoster<\/span><\/td>\nImproved MHC peptide class I interaction prediction with pretrained transformer<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shagimardanova E.<\/span><\/td>\nOral<\/span><\/td>\nNew insights on genome organization, RNA expression regulation and evolution of anhydrobiotic insect Polypedilum vanderplanki<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shagimardanova E.<\/span><\/td>\nPoster<\/span><\/td>\nAlleles and haplotypes diversity of HLA-A, -B, -C, -DRB1, and -DQB1 genes in Russia<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shaikhutdinov N.<\/span><\/td>\nOral<\/span><\/td>\nDe novo genome assembly of the extreme halotolerant chironomid midge Baeotendipes noctivagus and the first insights on its genomic adaptations to hypersaline environment.<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shakirova R.<\/span><\/td>\nPoster<\/span><\/td>\nGene network reconstruction and functional association studies for oncological diseases using online bioinformatics tools<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shalaginova I.<\/span><\/td>\nOral<\/span><\/td>\nRisk factors for the development of post-stress neuroinflammation: studies on rat strains with contrast excitability of the nervous system<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sharapova M.<\/span><\/td>\nOral<\/span><\/td>\nThe role of manganese oxide nanoparticles in the formation of stress granules in the mouse olfactory system<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sharipov R.<\/span><\/td>\nPoster<\/span><\/td>\nHeterogeneity of transcription factor binding sites within ChIP-Seq datasets<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sharypova E.<\/span><\/td>\nWithout report<\/span><\/td>\nExperimental in vitro characterization of TATA-binding protein to TATA-boxes affinity of Arabidopsis thaliana real promoter genes<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shatunova E.<\/span><\/td>\nOral<\/span><\/td>\nDkk-1 level detection in ankylosing spondylitis by the aptamer-based colorimetric assay<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shaytan A.<\/span><\/td>\nOral<\/span><\/td>\nStructure and dynamics of chromatin at nucleosome level: integrating experiments and simulations<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shedko E.<\/span><\/td>\nPoster<\/span><\/td>\nImpact of terahertz irradiation on the antimicrobial resistance of E. coli JM 103<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shekhovtsov S.<\/span><\/td>\nPoster<\/span><\/td>\nCryptic diversity in the Dendrobaena schmidti complex (Lum<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shekhovtsov S.<\/span><\/td>\nPoster<\/span><\/td>\nFreezing-induced metabolic changes in the liver and hindlimb muscle of the moor frog Rana arvalis and the Siberian salamander Salamandrella keyserlingii<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shelenkov A.<\/span><\/td>\nOral<\/span><\/td>\nComputational pipeline and database for the epidemiological typing and antimicrobial resistance profiling of important bacterial pathogens<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shenkarev Z.<\/span><\/td>\nOral<\/span><\/td>\nStructure and dynamics of REGN10987 Fab interaction with S-proteins of Delta and Omicron SARS-CoV-2 Variants<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sheremetieva M.<\/span><\/td>\nOral<\/span><\/td>\nMetabolic engineering of corynebacteria to create a producer of L-valine<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shevchenko A.<\/span><\/td>\nOral<\/span><\/td>\nPost-stress changes in the gut microbiota in rat strains with different excitability of the nervous system.<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shikov A.<\/span><\/td>\nPoster<\/span><\/td>\nThe recombination between 3-domain Cry-toxin genes as a mechanism to extend the list of affected hosts<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shilova S.<\/td>\nPoster<\/td>\nStructure features of novel D-amino acid transaminase from Aminobacterium colombiense<\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shilovsky G.<\/span><\/td>\nOral<\/span><\/td>\nEvolution of Protein Regulators of Circadian Rhythm in Mammals<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shilpa Harshan<\/span><\/td>\nPoster<\/span><\/td>\nTocilizumab partially reverses the altered transcriptional regulation of glycolysis in circulating CD8+ T cells of rheumatoid arthritis patients<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shitik E.<\/span><\/td>\nPoster<\/span><\/td>\nCapsid modifications of adeno-associated virus serotype 2<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shklyar A.<\/span><\/td>\nWithout report<\/span><\/td>\nInvestigation of the microRNA expression dynamics in the retina of rats during aging and the development of retinopathy similar to age-related macular degeneration<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shmakov N.<\/span><\/td>\nOral<\/span><\/td>\nPlant immunity genes of Solanum tuberosum L cultivars associ-ated with resistance to potato late blight<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shnaider T.<\/span><\/td>\nOral<\/span><\/td>\nInvestigation of the mechanisms of neurodevelopmental disorders caused by mutations in the CNTN6 gene on the cerebral organoids model<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shtern E.<\/span><\/td>\nOral<\/span><\/td>\nP.Y. Halperin’s Activity Theory and Language Consciousness Theory: Results of EEG-Based Research in the Perspective of ICT-assisted Foreign Language Learning<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shubin A.<\/span><\/td>\nOral<\/span><\/td>\nApplication of convolutional neural networks in the processing of hemispherical photos of the canopy<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shunkov M.
\n<\/span><\/td>\n		Oral
\n<\/span><\/td>\n		Genetic history and culture of the oldest population of North Asia<\/span><\/td>\n\n
\n
4.3 Human origin and evolution<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Shvaikovskaya A.<\/span><\/td>\nPoster<\/span><\/td>\nConcordance between the in vivo concentrations of neurospecific proteins (BDNF, NSE) in the brain and blood in patients with epilepsy<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sidorenko A.<\/span><\/td>\nPoster<\/span><\/td>\nUnderstanding the role of MAKR6 in Arabidopsis thaliana L. root development<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sigova E.<\/span><\/td>\nPoster<\/span><\/td>\nGenome assembly of Colletotrichum lini from long Nanopore reads<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Singatulina A.<\/span><\/td>\nOral<\/span><\/td>\nPARP-1 activation regulates recruitment of FUS to SGs and their assembly without additional recruitment of PAR to SGs<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sitnikova N.<\/span><\/td>\nOral<\/span><\/td>\nAg modification of PLC-COOH nanofibers provides mesenchymal cells proliferation<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sivkina A.<\/span><\/td>\nPoster<\/span><\/td>\nComparison of nucleosome unfolding by yeast and human FACT: electron microscopy analysis<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Skoblov M.<\/span><\/td>\nOral<\/span><\/td>\nComplex alleles of splicing variants in Mendelian diseases<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Slovareva O.<\/span><\/td>\nPoster<\/span><\/td>\nBacteria species diversity on winter grain crops of the field experimental station of RSAU-MTAA named after K.A. Timiryazev<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Smirnov D.<\/span><\/td>\nPoster<\/span><\/td>\nThe emerging role of SIRT6 in the mitochondrial regulation<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Smirnova K.<\/span><\/td>\nOral<\/span><\/td>\nEffect of chronic unpredictable mild stress on stress resilience in Disc1-Q31L mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Smirnova L.<\/span><\/td>\nOral<\/span><\/td>\nIgG-Dependent dismutation of Superoxide and DPPH radical in patients with schizophrenia<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Smolnikova M.<\/span><\/td>\nPoster<\/span><\/td>\nFicoline-3 and MASP-2 gene variants in Russian Arctic populations<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sobolevskaya E.<\/span><\/td>\nPoster<\/td>\nThe nearest and one-month effects of endovascular revascularization for patients with critical limb ischemia<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sofronova V.<\/span><\/td>\nPoster<\/span><\/td>\nClinical and molecular characteristics of ichthyosis in Yakutia.<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sokolova D.<\/span><\/td>\nOral<\/span><\/td>\nMicrobial diversity in low temperature oil field with high-salinity formation water in Tatarstan (Russia) and their potential for MEOR application<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sokolova O.<\/span><\/td>\nOral<\/span><\/td>\nUse of lipodiscs in structural studies of ion channels<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Solodneva E.<\/span><\/td>\nWithout report<\/span><\/td>\nGenetic structure analysis of 157 transboundary and local populations of cattle (Bos taurus, Bos indicus and Bos grunniens) based on STR markers.<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Son A.<\/span><\/td>\nPoster<\/span><\/td>\nModeling of contractile activity-induced fatigue in human skeletal muscle<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sonets I.<\/span><\/td>\nOral<\/span><\/td>\nInvestigating bacterial and yeast diversity of spontaneous fermentation beer and cider using Hi-C metagenomics<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sorokin I.<\/span><\/td>\nPoster<\/span><\/td>\nShort day exposition affects the brain serotonin system in zebrafish Danio rerio<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sorokina N.<\/span><\/td>\nPoster<\/span><\/td>\nPotential bacteriophage recombination sites inside genes containing cysteine repeats<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Speranskaya A.<\/span><\/td>\nOral<\/span><\/td>\nThe characterization of complete genome of MERS-related coronavirus from bat (Pipistrellus nathusii) from Moscow region, prediction and analysis their Spike glycoprotein with DPP4 receptors of the different mammalian species<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Spirin S.<\/span><\/td>\nPoster<\/span><\/td>\nPhyloBench, a benchmark for evaluation of phylogenetic programs<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Spirov A.<\/span><\/td>\nPoster<\/span><\/td>\nVariability and Robustness of the Functioning of Gene Regula-tory Networks: Role in the Evolution of Early Embryogenesis<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stanin V.<\/span><\/td>\nPoster<\/span><\/td>\nTranscriptional profiling of fusarium wilt in flax<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stanova A.<\/span><\/td>\nOral<\/span><\/td>\nThe impact of temperature conditions of incubation on mouse embryonic development during in vitro fertilization<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Starchevskaya M.<\/span><\/td>\nOral<\/span><\/td>\nThe metagenomic analysis of Colorado potato beetles public NGS data and the nanopore sequencing of its genetic material<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Starikova E.<\/span><\/td>\nPoster<\/span><\/td>\nThe resistome of human-associated microbial communities, its mobility and temporal dynamics<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Starodubtseva E.<\/span><\/td>\nPoster<\/span><\/td>\nOptical control of intercellular communication between platelets during activation<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Starodumov I.<\/span><\/td>\nOral
\n<\/span><\/td>\n		Mathematical Modeling of Gas-Liquid Flows in Bioreactors<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stavrovskaya A.<\/span><\/td>\nOral<\/span><\/td>\nBioinformatics and experimental approaches in the creation of the drug «Superbact» for parkinsonism\u2019s treatment<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stefanova N.<\/span><\/td>\nOral<\/span><\/td>\nThe Rat Brain Transcriptome: From Infancy to Aging and Sporadic Alzheimer’s Disease-like Pathology<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stepanchuk Ya.<\/span><\/td>\nOral<\/span><\/td>\nHi-C based translocations detection in human single cells<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stepanichev M.<\/span><\/td>\nOral<\/span><\/td>\nNerve growth factor in the aging brain: friend or foe?<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stetsenko I.<\/span><\/td>\nPoster<\/span><\/td>\nDetecting broad specter of viral nucleic acids via NGS: novel k-mer-based algorithm for multiplex degenerate primer sets design<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Stolyarenko A.<\/span><\/td>\nOral<\/span><\/td>\nIn vitro Characterization of Human REV1 Low-fidelity DNA Polymerase<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sudakov N.<\/span><\/td>\nOral<\/span><\/td>\nRearrangements of actin cytoskeleton in atherosclerotic plaque development (experimental study).<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sukhachev V.<\/span><\/td>\nOral<\/span><\/td>\nPrediction of adverse effects of drug-drug interactions on the cardiovascular system based on the analysis of structure-activity relationships<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sukhanova X.<\/span><\/td>\nPoster<\/span><\/td>\nDiscovery of somatic recombination events in APP and analysis of its occurrence<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sukhinina E.<\/span><\/td>\nOral<\/span><\/td>\nGeneration of stable breast cancer cell lines with overexpression of \u041e\u00b1v\u041e\u04063 integrin<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sukhomlinov D.<\/span><\/td>\nOral<\/span><\/td>\nGeneCut \u2013 a software tool for oligonucleotide design, assembly and cloning of gene constructs<\/span><\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sukhomyasova A.<\/span><\/td>\nOral<\/span><\/td>\nReproductive Genetic Screening for Heterozygous Carriage of Hereditary Diseases in the Republic of Sakha (Yakutia)<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Sukovatyi L.<\/span><\/td>\nPoster<\/span><\/td>\nMolecular modeling of osmolytes’ effect on bacterial luciferase<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Suldina L.<\/span><\/td>\nWithout report<\/span><\/td>\nAn increase in the number of CAG repeats in the huntingtin gene enhances pathological ultrastructural aberrations in the cells and neurons<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Surkova S.<\/span><\/td>\nWithout report<\/span><\/td>\nAnalysis of robust pattern formation in the developing Drosophila eye using two mathematical models<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Surnin P.<\/span><\/td>\nOral<\/span><\/td>\nDetermination of parameters of a mathematical model of bacterial infection development taking into account antimicrobial resistance<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Suslov D.<\/span><\/td>\nOral<\/span><\/td>\nControl of Arabidopsis thaliana shoot gravitropism at the level of cell wall biomechanics and metabolomics<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Suvorov A.<\/span><\/td>\nOral<\/span><\/td>\nCommensal microbiota: realities and vaccine making potential<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Svishcheva G.<\/span><\/td>\nPoster<\/span><\/td>\nNew framework for gene-based association analysis using GWAS summary statistics and functional annotations<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tabassum S.<\/span><\/td>\nOral<\/span><\/td>\nNetwork Pharmacology and Molecular Docking Techniques to Elucidate the Mechanisms of Ocimum Sanctum against Tuberculosis<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tabikhanova L.<\/span><\/td>\nPoster<\/span><\/td>\nPolymorphism rs1800795 of the IL6 gene in samples of Siberian indigenous ethnic groups<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tamazian G.<\/span><\/td>\nPoster<\/span><\/td>\nPygenomics: Python package for processing genomic intervals and bioinformatic data formats<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Taranik A.<\/span><\/td>\nOral<\/span><\/td>\nForecast of the development of the COVID-19 epidemic situation in Moscow in 2022-2023<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tarasov K.<\/span><\/td>\nPoster<\/span><\/td>\nIsolation of new methylotrophic species Cytobacillus baksanea from deep underground hot spring of Baksan Neutrino Observatory<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tarasov O.<\/span><\/td>\nPoster<\/span><\/td>\nSearch for coevolution in protein interaction network of translation termination factors<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tarasova O.<\/span><\/td>\nOral<\/span><\/td>\nComputational Analysis of Viral Drug Resistance and Treatment Efficacy: Case study for HIV-infection<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Telegina D.<\/span><\/td>\nPoster<\/span><\/td>\nBoth melatonin and mitochondrial antioxidant SkQ1 had different effect on the retinal glutamate \/ GABA in healthy Wistar and senescence-accelerated OXYS rats<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tesic S.<\/span><\/td>\nPoster<\/span><\/td>\nPlasmid genome dynamics of sequenced strains of Xanthomonas campestris pv. campestris<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tikhonova M.<\/span><\/td>\nOral<\/span><\/td>\nNew antiparkinsonian agent Diol restores cognitive function, enhances neurotrophic function, and diminishes neuroinflammation in a MPTP-induced model of Parkinson’s disease in mice<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Timofeeva A.<\/span><\/td>\nPoster<\/span><\/td>\nCatalytic antibodies after COVID-19 and vaccination hydrolyze SARS-CoV-2 S-protein and corresponding oligopeptides<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Timoshchuk A.<\/span><\/td>\nOral<\/span><\/td>\nDefining the genetic control of N-glycosylation human blood plasma proteins using multivariate genetic association analysis<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tishakova K.<\/span><\/td>\nPoster<\/span><\/td>\nComposition of sex chromosomes of veiled chameleon (Chamaeleo calyptratus, Iguania, Squamata) reveals new insights into sex chromosome evolution of iguanian lizards<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Titov A.<\/span><\/td>\nOral<\/span><\/td>\nSpace-time correlation analysis in bio-macro-molecules, based on molecular dynamic trajectory data<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Titov I.<\/span><\/td>\nOral<\/span><\/td>\nThe secondary structure model of the transcriptional termina-tor of the C. glutamicum inbc operon proved by mutational analysis of the operon gene expression and valine production<\/span><\/td>\n\n
\n
5.4 Modeling and computer analysis of microbiological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tkachev S.<\/span><\/td>\nPoster<\/span><\/td>\nThe use of next-generation sequencing for genetic characterization of tick-borne encephalitis virus variants from Western Siberia<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Trapezov O.<\/span><\/td>\nOral<\/span><\/td>\nRegulatory effects of genes controlling behavior and painting shaping control. American mink (neovison vison) as a model<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Trifonova E.<\/span><\/td>\nOral<\/span><\/td>\nGenomics and transcriptomics of preeclampsia<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Trusov N.<\/span><\/td>\nOral<\/span><\/td>\nConsumer loan demand modeling of households in Russia under sanctions<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tsepilov Y.<\/span><\/td>\nOral<\/span><\/td>\nNovel multivariate approach identifies LPA and VCAM1 as drug targets for human ageing<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tsukanov A.<\/span><\/td>\nOral<\/span><\/td>\nenRest tool for transcription factor binding sites overrepresentation analysis in RNA-seq data<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tsybko A.<\/span><\/td>\nOral<\/span><\/td>\nCerebral dopamine neurotrophic factor (CDNF) affects hippocampal neu-roplasticity and fear memory in rats<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tsyupka V.<\/span><\/td>\nPoster<\/span><\/td>\nThe molecular response to low-temperature stress in peach cul-tivars with different cold tolerance<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tuchinov B.<\/span><\/td>\nOral<\/span><\/td>\nMulti-class abdominal aortic aneurysm segmentation via 3D neural networks<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Turubanova V.<\/span><\/td>\nOral<\/span><\/td>\nVaccination with dendritic cells pulsed with glioma killed by photodynamic therapy induces efficient antitumor immunity<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tvorogova V.<\/span><\/td>\nOral<\/span><\/td>\nTranscriptomic analysis for the optimization of transformation of legumes<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Tyugashev T.<\/span><\/td>\nPoster<\/span><\/td>\nMolecular dynamics insight into mechanism of nucleotide incorporation specificity of human terminal deoxynucleotidyltransferase<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ubogoeva E.<\/span><\/td>\nOral<\/span><\/td>\nEthylene assists auxin in the regulation of root cap renewal in Arabidopsis thaliana L.<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Ukraintsev A.<\/span><\/td>\nPoster<\/span><\/td>\nStudy of Interaction of the PARP Family DNA-Dependent Proteins with Nucleosomes by Atomic Force Microscopy<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Unguryan V.<\/span><\/td>\nPoster<\/span><\/td>\nAnalysis of binding properties of influenza hemagglutinins and human receptor analog<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Uvarova Yu.<\/span><\/td>\nOral<\/span><\/td>\nInvestigation of promising biotechnological strains from the FRC ICG SB RAS collection using omix technologies and bio-informatics methods<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Valeeva L.<\/span><\/td>\nOral<\/span><\/td>\nProtein prenyltransferases regulate the multicellular thallus development of liverwort Marchantia polymorpha<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vasilev F.<\/span><\/td>\nOral<\/span><\/td>\nInvestigation of domain-specific functions and stability of VPS33A, responsible protein for mucopolysaccharidosis-plus syndrome<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vasileva A.<\/span><\/td>\nPoster<\/span><\/td>\nOn the search for markers formed in the processes of microbiological metabolism of industrial waste on the example of lignin and oil sludge by gas chromatography-mass spectrometry (GC-MS)<\/span><\/td>\n\n
\n
5.3 Industrial biotechnologies: creation of producer strains<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vasilyev S.<\/span><\/td>\nOral<\/span><\/td>\nEpigenetic landscape in human aneuploid embryos<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vasytkin S.<\/td>\nPoster<\/td>\nInvestigation of various hemodynamic regimes in elastic vessels<\/td>\n\n
\n
2.1 Reconstruction, computational analysis and modeling of biological systems<\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vatlin A.<\/span><\/td>\nOral<\/span><\/td>\nOmix technologies and bioinformatics: an example of use in creating a pharmabiotic based on the Limosilactobacillus fermentum U21 strain<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vechkapova S.<\/span><\/td>\nOral<\/span><\/td>\nThe role of insulin receptor signaling in regulation of synaptic glutamatergic hippocampal neurotransmission<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vedunova M.<\/span><\/td>\nOral<\/span><\/td>\nNovel approaches for analysis of the functional activity of neural networks in vitro<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Veselovsky V.<\/span><\/td>\nOral<\/span><\/td>\nGene networks underlying the mechanisms of resistance to inflammatory factors in Bifidobacterium longum and Lacticaseibacillus rhamnosus<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vinogradov K.<\/span><\/td>\nPoster<\/span><\/td>\nGenetic traits of the delta variant in the Russian Federation and its spread during the epidemic caused by the SARS-CoV-2 virus<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vishnevsky O.<\/span><\/td>\nWithout report<\/span><\/td>\nFoxO1 may play a role in SREBP1 interaction with DNA<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vishnevsky O.<\/span><\/td>\nOral<\/span><\/td>\nArgo_CEL: GPU Based Composite Elements Discovery<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vlad A.<\/span><\/td>\nOral<\/span><\/td>\nTransmission of acute respiratory infections in a city: agent-based approach<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vlasenkova R.<\/span><\/td>\nOral<\/span><\/td>\nConstruction of comprehensive amino acid networks from Molecular Dynamics trajectories and tumor mutational profile of human sodium transporter NaPi2b<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vodiasova E.<\/span><\/td>\nOral<\/span><\/td>\nCharacterization of the glutathione S-transferase gene family in Mollusca<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Volobueva M.<\/span><\/td>\nOral<\/span><\/td>\nClassification of prokaryotic DNA methyltransferases by sequence similarity of the catalytic domain<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Volynsky P.<\/span><\/td>\nOral<\/span><\/td>\nIdentification of factors important for the translocation of water-soluble proteins across the membrane using computer simulations<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Volynsky P.<\/span><\/td>\nPoster<\/span><\/td>\nSmall-angle X-ray scattering study of histone-like protein from Spiroplasma melliferum in solution<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
von Wettberg E.<\/span><\/td>\nOral<\/span><\/td>\nRNA-seq Analysis of the Asiatic Vigna to Examine Differential Gene Expression During Germination and Early Plant Development<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Novopashina D.<\/span><\/td>\nOral<\/span><\/td>\nNovel aptamer-based targeted agents for boron neutron capture therapy<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Voropaeva E.<\/span><\/td>\nPoster<\/span><\/td>\nMethylation of p53-responsive microRNA genes in tumor tissue of lymphoma<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vorozheykin P.<\/span><\/td>\nPoster<\/span><\/td>\nmitomiRs as the common regulators of gene silencing<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Vychyk P.<\/span><\/td>\nPoster<\/span><\/td>\nBacRegDB: a database of bacterial regulatory elements with structural evidence<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Wajid Arshad Abbasi<\/span><\/td>\nOral<\/span><\/td>\nComputational identification of Anti-CRISPR proteins by us-ing information extracted from the primary structures<\/span><\/td>\n\n
\n
13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Wiebe D.<\/span><\/td>\nOral<\/span><\/td>\nFold-change Specific Enrichment Analysis (FSEA): An approach for functional enrichment analysis of transcriptomic data<\/span><\/td>\n\n
\n
1.1 Genomics and transcriptomics of plants and animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Wohlfromm F.<\/span><\/td>\nOral<\/span><\/td>\nRecombinant lactaptin analogon RL2 inhibits TRAIL-induced cell death in breast cancer cell lines by mitophagy<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Xiuwei Cao<\/span><\/td>\nOral<\/span><\/td>\nCondensation of STM empowers meristem activity and enhances salt tolerance<\/span><\/td>\n\n
\n
6.2 Developmental biology of plants: computational and experimental approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yakhnenko A.<\/span><\/td>\nPoster<\/span><\/td>\nUniversal microsatellite markers for Baikal endemic sponge family Lubomirskiidae<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yakovleva A.<\/span><\/td>\nPoster<\/span><\/td>\nThe spectrum of mutations in the EXT1 gene among patients with Multiple Hereditary Exostoses in the Republic of Sakha (Yakutia)<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yamileva K.<\/span><\/td>\nPoster<\/span><\/td>\nCDH13 and it’s signaling partners in the functioning of the endothelium cells<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yan A.<\/span><\/td>\nOral<\/span><\/td>\nDetecting three-dimensional contacts of plasmid DNA with chromatin in HEK293\u0422 cells<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yudin N.<\/span><\/td>\nPoster<\/span><\/td>\nEstimating telomere length in the local Russian and imported to Russia cattle breeds from whole genome sequence data<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yudkina A.<\/span><\/td>\nOral<\/span><\/td>\nInteraction of DNA replication and DNA repair systems with AP sites adducts with proteins, peptides and low-molecular-weight compounds<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yukhtanov D.<\/span><\/td>\nPoster<\/span><\/td>\nAnalysis of mitochondrial supply of neuronal processes during the postnatal brain maturation in OXYS rats \u2013 a model of sporadic Alzheimer\u2019s disease<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Yunes R.<\/span><\/td>\nOral<\/span><\/td>\nPFNA operon of bifidobacteria: Role of bioinformatics in the discovery, structural and functional characterization, and pos-sible application in biotechnology.<\/span><\/td>\n\n
\n
5.1 Biotechnology through the prism of microbiome<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zagryadskaya I.<\/span><\/td>\nPoster<\/span><\/td>\nThe study of localization of beta-amyloid peptide monomers in cells by fluorescence microscopy<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zakluta A.<\/span><\/td>\nPoster<\/span><\/td>\nInfluence of sulfur metabolism genes on processes related to learning and memory in Drosophila melanogaster.<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zalomaeva E.<\/span><\/td>\nPoster<\/td>\nMemory formation in Drosophila with neurospecific suppression limk1 gene expression in nervous system<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zaparina O.<\/span><\/td>\nOral<\/span><\/td>\nRenal pathologies development during experimental opisthorchiasis<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zarubin A.<\/span><\/td>\nOral<\/span><\/td>\nRMetSeq package for processing targeted MRE-seq<\/span><\/td>\n\n
\n
4.1 Human medical\/population genomics and genetics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zarubin M.<\/span><\/td>\nOral<\/span><\/td>\nThe insight into structural properties of unique tardigrade radioprotective damage suppressor protein (Dsup)<\/span><\/td>\n\n
\n
3.2 Structural biology of proteins and membranes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zavarzin E.<\/span><\/td>\nOral<\/span><\/td>\nEEG preprocessing algorithm to measure DMN connectivity<\/span><\/td>\n\n
\n
10. Cognitive sciences, neurogenetics, neuroinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zavestovskaya I.<\/span><\/td>\nOral<\/span><\/td>\nNanoteranostics based on multimodal nanoparticles and nanosystems<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zaytseva O.<\/span><\/td>\nOral<\/span><\/td>\nAssociation between polygenic risk scores for plasma protein N glycosylation traits and 276 ICD-10 diseases<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zemskaya N.<\/span><\/td>\nOral<\/span><\/td>\nInterrelation of lifespan and viability indicators of Drosophila species<\/span><\/td>\n\n
\n
12. Systems biology of aging: experimental and computational approaches<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zemskaya T.<\/span><\/td>\nOral<\/span><\/td>\nMicrobial communities in gradient zones of Lake Baikal<\/span><\/td>\n\n
\n
5.2 Microbial communities of natural and anthropogenic habitats<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zhao M.<\/span><\/td>\nPoster<\/span><\/td>\nFunctional role of active site amino acid residues of human ALKBH2 during recognition of methylated DNA bases<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zharkov D.<\/span><\/td>\nOral<\/span><\/td>\nStructure and function evolution in DNA repair<\/span><\/td>\n\n
\n
11. Systems biology and bioinformatics of DNA repair processes and programmed cell death<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zhdanova O.<\/span><\/td>\nOral<\/span><\/td>\nGenetic polymorphism under cyclical selection in long-lived species: the complex effect of age structure and maternal selection<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zhdanova O.<\/span><\/td>\nOral<\/span><\/td>\nZooplankton effect on the dynamics of competing phytoplankton species<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zhegalova I.<\/span><\/td>\nOral<\/span><\/td>\nConsecutive chromatin loops in D. discoideum<\/span><\/td>\n\n
\n
1.3 Functional and applied 3D genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zheleznyak A.<\/span><\/td>\nPoster<\/span><\/td>\nModeling of Mammalian Ribonuclease Inhibitor Complex With Bacterial Ribonuclease Binase<\/span><\/td>\n\n
\n
3.3 Chemoinformatics and chemical biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zhigunov A.<\/span><\/td>\nPoster<\/span><\/td>\nTowards identification of genetic factors underlying curly birch wood patterning using high-throughput genotyping<\/span><\/td>\n\n
\n
6.1 Genomics, genetics and system biology of plants<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zhurakovskaya A.<\/span><\/td>\nOral<\/span><\/td>\n\u0410ctin genes of the White Sea sponge Halisarca dujardinii: structure and regulation<\/span><\/td>\n\n
\n
1.2 Regulatory genomics<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zlobin A.<\/span><\/td>\nPoster<\/span><\/td>\nLoci associated with negative heterosis for viability and meat productivity in interspecies sheep hybrids<\/span><\/td>\n\n
\n
7.2 Population and evolutionary genomics\/genetics of wild and domestic animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zolotareva K.<\/span><\/td>\nPoster<\/span><\/td>\nNatural selection against insufficiency in sarcomeric proteins reduces the risks of cardiomyopathy in humans versus chimpanzees as conventionally the nearest wild congeners, for whom it is the most common cause of spon-taneous mortality<\/span><\/td>\n\n
\n
8. Biomedicine, bioinformatics and systems computational biology<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zolotovskaya E.<\/span><\/td>\nPoster<\/span><\/td>\nA low molecular weight protein from Baikal amphipod hemocytes as a potential antimicrobial peptide<\/span><\/td>\n\n
\n
1.4 Evolutionary genomics, bioinformatics, and molecular phylogeny<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zorkoltseva I.<\/span><\/td>\nPoster<\/span><\/td>\nNew genes predisposing to coronary artery disease detected by genome-wide gene-based association analysis<\/span><\/td>\n\n
\n
4.2 Genome-wide association studies<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zubkova E.<\/span><\/td>\nOral<\/span><\/td>\nStudy, storage and visualization of data on the ontogenesis of dwarf shrubs and herbaceous plants (CAMPUS program)<\/span><\/td>\n\n
\n
2.2 Modeling of population and ecological systems and processes<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zuev D.<\/span><\/td>\nOral<\/span><\/td>\nNanoparticle axonal transport assessment in neurodegeneration susceptible mice strain<\/span><\/td>\n\n
\n
7.1 Genomics, genetics and system biology of animals<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n
Zvonareva T.<\/span><\/td>\nOral<\/span><\/td>\nMathematical modeling of information diffusion in Twitter<\/span><\/td>\n\n
\n
9. Mathematics, bioinformatics and systems computational biology of COVID-19<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

\u0423\u0432\u0430\u0436\u0430\u0435\u043c\u044b\u0435 \u0443\u0447\u0430\u0441\u0442\u043d\u0438\u043a\u0438! \u0417\u0430\u043a\u043e\u043d\u0447\u0435\u043d\u043e \u0440\u0435\u0446\u0435\u043d\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0442\u0435\u0437\u0438\u0441\u043e\u0432, \u043f\u043e\u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u044e BGRS\/SB-2022. \u041d\u0438\u0436\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0430 \u0442\u0430\u0431\u043b\u0438\u0446\u0430, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0443\u043a\u0430\u0437\u0430\u043d\u044b: (1) \u0430\u0432\u0442\u043e\u0440, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u0434\u043e\u043a\u043b\u0430\u0434; (2) \u0442\u0438\u043f \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043e\u043a\u043b\u0430\u0434\u0430; (3) \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435 \u0440\u0430\u0431\u043e\u0442\u044b; (4) \u0441\u0435\u043a\u0446\u0438\u044f, \u043d\u0430 \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u043f\u0440\u0438\u043d\u044f\u0442 \u0442\u0435\u0437\u0438\u0441. \u041f\u043e\u0436\u0430\u043b\u0443\u0439\u0441\u0442\u0430, \u043f\u0440\u043e\u0438\u043d\u0444\u043e\u0440\u043c\u0438\u0440\u0443\u0439\u0442\u0435 \u043d\u0430\u0441 (\u043f\u043e \u0430\u0434\u0440\u0435\u0441\u0443 bgrs2022@bionet.nsc.ru) \u0435\u0441\u043b\u0438: — \u0432\u0430\u0448\u0443 \u0440\u0430\u0431\u043e\u0442\u0443 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u043e\u0439 \u0430\u0432\u0442\u043e\u0440; — \u0438\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0435\u043b\u0438 \u0431\u044b \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u043d\u0435 […]<\/p>\n","protected":false},"author":148,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/pages\/14518"}],"collection":[{"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/users\/148"}],"replies":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/comments?post=14518"}],"version-history":[{"count":141,"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/pages\/14518\/revisions"}],"predecessor-version":[{"id":14521,"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/pages\/14518\/revisions\/14521"}],"wp:attachment":[{"href":"https:\/\/bgrssb.icgbio.ru\/2022\/ru\/wp-json\/wp\/v2\/media?parent=14518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}