| Ivan Kulakovsky | Do we understand the grammar of nucleotide sequences controlling eukaryotic gene expression? From pattern matching in strings to AI-assisted rational design | Plenary lectures, Opening of the conference |
| Ivan Gushchin | X-ray crystallography in the era of high-quality predictions | Plenary lectures, Opening of the conference |
| Yan Zubavichus | Synchrotron radiation facility SKIF: structural biology-related instruments and research plans | Plenary lectures, Opening of the conference |
| Chen Ming | Big data-based studies on neurodegenerative-related interactome, aging and longevity | Plenary lectures, Opening of the conference |
| Gennady Bocharov | System immunology: multiphysics modelling approach | Plenary lectures, Opening of the conference |
| Elena Ilina | Systems approach in research of human microbiome in the context of human health | Plenary lectures, Opening of the conference |
| Pedro Antonio Valdés-Sosa | The Riemannian nonlinear geometry of electroencephalogam development across the lifespan | Plenary lectures, Closing of the conference |
| Evgeny Denisov | Omics technologies at the single cell and spatial resolution levels: opportunities and prospects | Plenary lectures, Closing of the conference |
| Vorontsov Konstantin | Evolution of ideas in artificial intelligence and their relationship to the challenges of biomedicine and bioinformatics | Plenary lectures, Closing of the conference |
| Pasyukova Elena Genrikhovna | Протеинкиназы и транскрипционные факторы в системной регуляции продолжительности жизни | 13 Genetics and systems biology of aging |
| Veselkina Ekaterina | The expression level of GSK3 in specific groups of dopaminergic neurons influences the lifespan and behavior of Drosophila melanogaster | 13 Genetics and systems biology of aging |
| Morgunova Galina | Investigation of the effect of the 7-hydroxycoumarin derivative UB3-C10 on chronological aging of human myoblasts MB135 in vitro | 13 Genetics and systems biology of aging |
| Golubenko Maria | Mitochondrial DNA variants combinations as a risk factor for developing of arrhythmia | 13 Genetics and systems biology of aging |
| Khokhlov Alexander | Antioxidants: good, bad, or ineffective in terms of aging and lifespan? It depends. | 13 Genetics and systems biology of aging |
| Proshkina Ekaterina | Genetic and pharmacological piwi suppression modulates lifespan and radioresistance of Drosophila melanogaster | 13 Genetics and systems biology of aging |
| Symonenko Alexander | Changes in the expression of the Stc transcription factor in the nervous system and muscle tissue increase the healthspan of Drosophila | 13 Genetics and systems biology of aging |
| Moskalev Alexey | Potential geroprotectors - from laboratory to clinic | 13 Genetics and systems biology of aging |
| Kurochkina Nadia | Knockout of Hsp70 genes causes changes in the transcriptome of leg skeletal muscles and locomotion speed in D. melanogaster comparable to age-related changes | 13 Genetics and systems biology of aging |
| Matveeva Kseniia | Transcriptional Signatures and Age-Related Changes in CD8+HLA-DR+ Regulatory T Cells | 13 Genetics and systems biology of aging |
| Snytnikova Olga | Quantitative metabolomic profile of blood serum and brain of OXYS rats – a model of Alzheimer’s disease | 13 Genetics and systems biology of aging |
| Stepanichev Mikhail | Changes in behavior and the stress-responsive system in the aging SHR and WKY rats after prolonged individual housing | 13 Genetics and systems biology of aging |
| Orlova Mira | Effects of age and long-term disuse on proteome of human skeletal muscle | 13 Genetics and systems biology of aging |
| Stefanova Natalia | Insufficient neuronal support by glial cells as a predictor and driver of Alzheimer’s diseaselike pathology in OXYS rats | 13 Genetics and systems biology of aging |
| Kholdina Daria | From Genes to Gears: Exploring the Mechanics of Aging and Longevity Through Transcriptomic Clocks and Network Analysis | 13 Genetics and systems biology of aging |
| Kriukov Dmitrii | Epistemic uncertainty hinders reliable prediction of rejuvenation with aging clocks | 13 Genetics and systems biology of aging |
| Efimov Evgeniy | Developing a standardized methodology to validate epigenetic aging clocks | 13 Genetics and systems biology of aging |
| Vityaev Evgenii | The implementation in the Task-driven approach to Artificial Intelligence the P.K.Anokhin's idea of generalizing the Theory of Functional Systems to other fields of knowledge | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Nechesov Andrey | Programming methodology for trusted artificial intelligence | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Ivanisenko Timofey | Enhancing biomedical knowledge discovery through hybrid text-mining and graph neural network approaches in ANDSystem | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Palyanov Andrey | Millions of SARS-CoV-2 genomes in the RAM of a regular PC: fast and efficient analysis of evolutionary changes | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Perik Zavodskii Roman | TCRscape – a tool for simultaneous multimodal gene expression analysis of single Tcells and their clonotypes | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Firsov Artemiy | miRNA science as an intellectual epidemy | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Meshcheryakov Georgy | Toward improved calling of allele-specific events in highthroughput sequencing data with a mixture of compound Dirichlet negative multinomial distributions | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Kondratyev Dmitry Alexandrovich | Formal verification of neural networks | 12.3 Systems theory, big biological data analysis, ontologies and artificial intelligence |
| Loginov Konstantin Konstantinovich | Numerical study of the initial stage of spread of HIV-1 infection in a lymphatic node based on a stochastic model and the Monte Carlo method | 12.2 Mathematical immunology |
| Bocharov Gennady | Frontier modelling challenges in mathematical immunology | 12.2 Mathematical immunology |
| Khristichenko Michael | Computation and analysis of stationary solutions of the COVID-19 infection dynamics mode | 12.2 Mathematical immunology |
| Panova Anastasiia | Modeling of infection in a local atmosphere with a random concentration of SARS-COV-2 virus | 12.2 Mathematical immunology |
| Karpenko Dmitriy | Complexity of immune suppression underlying immune privileges in stem system | 12.2 Mathematical immunology |
| Fedorova Valentina | Mathematical modeling of the promising composition of the next generation safe epitope vaccine against porcine salmonellosis | 12.2 Mathematical immunology |
| Kolpakov Fedor | The virtual cell | 12.1 Mathematical and simulation modeling, digital twins |
| Kondrakhin Pavel | Multilevel mathematical model of epileptic seizures | 12.1 Mathematical and simulation modeling, digital twins |
| Golubyatnikov Vladimir | Non-uniqueness of cycles and hidden attractors in multistage gene networks models | 12.1 Mathematical and simulation modeling, digital twins |
| Rakshun Yakov Valerievich | Интеллектуальные цифровые двойники с системами поддержки принятия решений экспериментальной станции 1-1 «Микрофокус» СКИФ | 12.1 Mathematical and simulation modeling, digital twins |
| Marchenko Mikhail | Цифровые двойники технических и природных систем, и вопросы искусственного интеллекта | 12.1 Mathematical and simulation modeling, digital twins |
| Petoukhov Sergey Valentinovich | Связь генетического кодирования с циклическими кодами Грея. Проблема наследования биоциклов | 12.1 Mathematical and simulation modeling, digital twins |
| Daniil Parshin | Hemodynamics of aneurysms: modeling and experiment | 12.1 Mathematical and simulation modeling, digital twins |
| Kolpakov Fedor Anatolevich | Computer modelling of appoptosis | 11.3 Apoptosis and other fundamental cellular processes that regulate cell fate |
| Babushkina Nadezhda | Метилирование регуляторных регионов апоптоз-aссоциированных генов при дистропии | 11.3 Apoptosis and other fundamental cellular processes that regulate cell fate |
| Tarasova Irina | Functional cross-talks between transcription, alternative splicing, translation and novel posttranslational modifications in Alzheimer disease: fill missings using proteomics | 11.3 Apoptosis and other fundamental cellular processes that regulate cell fate |
| Sokolova Olesya | Выявление мишеней транскрипционной регуляции инсуляторного белка BEAF32 и изучение его роли в поддержании piРНК-кластеров в герминальных тканях Drosophila melanogaster | 11.3 Apoptosis and other fundamental cellular processes that regulate cell fate |
| Graifer Dmitri | Hotspots in ribosomal proteins – determinants of the translation machinery and beyond | 11.2 Transcription, splicing, translation |
| Alkalaeva Elena | Regulation of eukaryotic translation termination by initiation complex | 11.2 Transcription, splicing, translation |
| Alkalaeva Elena | The last sense codon and the poly(A) tail of mRNA regulate the termination of eukaryotic translation | 11.2 Transcription, splicing, translation |
| Shepelev Nikita | Search for upstream open reading frames that are essential for viability of human cell lines | 11.2 Transcription, splicing, translation |
| Saparbaev Murat | Intra-strand DNA symmetry provides insight into evolution of complex life form | 11.1 DNA replication and repair |
| Zharkov Dmitry | Order and disorder in base excision DNA repair | 11.1 DNA replication and repair |
| Varizhuk Anna | G-quadruplexes at superenhancers and CTCF clusters help shape topologically associating domains / replication domains | 11.1 DNA replication and repair |
| Stolyarenko Anastasia | The catalytic activity of human REV1 on undamaged and damaged DNA | 11.1 DNA replication and repair |
| Backman Artemy | Kinetic features of protein-DNA and protein-protein interactions of APE1 and Polβ during the base excision repair | 11.1 DNA replication and repair |
| Yakovlev Alexandr | The ability of polymerases of different families to process substrates containing clickchemical modifications of the sugar-phosphate backbone | 11.1 DNA replication and repair |
| Irina Tarasova | Protocol testing and electrophysiological changes associated with multitasking cognitive training in virtual reality | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Anna Andreevna Arinicheva | Diagnosis of Cognitive Distortions in Public, Group, and Personal Text Communications | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Kseniya Zorina | EEG reactions in healthy children and children with behavioral control disorders during performing tasks in the stop-signal paradigm | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Vera Alexeevna Semiletova | EEG correlates of the influence of speleoclimate on the brain activity of an adult healthy person | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Smirnova Liudmila | Using the MaxQuant tool to search for biomarkers of bipolar disorder | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Shaliapina Anna | Cognitive and personality siblings’ features and oral speech | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Filimonov Viacheslav | Remarks on the draft of the fundamental theory of mind | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Abramova Victoria | Dynamic Changes in Neurovascular Connectivity in Patients with stroke: A Study of Resting-State fMRI and Cerebral Perfusion | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Andrey Bocharov | Associations of self-focus attention to oscillatory dynamics of self- recognition in morphed images | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Dmitry Lebedkin | Perception of self- and otherreferential sentences with varying emotional content: a neurolinguistic study | 10 General problems in the study of cognitive processes; models of cognitive activity |
| Letyagin Andrey | Interstitium: biofeedback and drainage transport of fluids, crystalloids, biopolymers and cells | 9.6 Interstitial space and long extravascular drainage/transport pathways |
| Bgatova Nataliya | General principles of structure and ultrastructural differences in the interstitial pathways of tissue fluid movement | 9.6 Interstitial space and long extravascular drainage/transport pathways |
| Nebrat Vladimir | Photobiomodulation and interstitium in medicine: new challenges and prospects | 9.6 Interstitial space and long extravascular drainage/transport pathways |
| Trashkeev Sergey | Exploring the potential of liquid crystal physics in biology | 9.6 Interstitial space and long extravascular drainage/transport pathways |
| Ushakov Andrey | Pathogenesis of thyroid stromal swelling | 9.6 Interstitial space and long extravascular drainage/transport pathways |
| Taskaeva Iuliia | Features of extracellular matrix remodeling in human uveal melanoma | 9.6 Interstitial space and long extravascular drainage/transport pathways |
| Prokudina Ekaterina | Фиброин шёлка – основа тканеинженерной заплаты для артериальной реконструкции | 9.5 Tissue engineering |
| Sorokina Irina | Neuromodulators of the azaadamantane type: prospects for use in neurodegenerative pathologies | 9.4 Innovative pharmacology |
| Dmitrii Baev | Molecular modeling of the mechanism of antiviral action of new conjugates of 1,7,7-trimethylbicyclo[2.2.1]heptane and saturated N-heterocycles linked by a 1,2,3-triazole linker against the Marburg virus | 9.4 Innovative pharmacology |
| Sergey Borisov | Dihydrobetulonic acid derivatives as potential dual PPАR-α and PPАR-γ agonists | 9.4 Innovative pharmacology |
| Zakharova Irina | Cellular models of familial hypercholesterolaemia: new horizons in the fight against atherosclerosis | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Malakhova Anastasia | Клеточные модели болезни Паркинсона и болезни Гентингтона для изучения патологических процессов в нейронах | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Makeeva Vladlena | Effect of PARP1 inhibitor on expression of genes associated with Huntington's disease in differentiated iPSC derivatives | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Nadtochiy Julia | Transgenic cell lines to study the interaction of tau protein with microtubules and to analyze mitochondrial dysfunction caused by the c.2013T>G (p.N279K) genetic variant in the MAPT gene | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Chvileva Anastasia | Investigating the effect of HAR deletion located in the CNTN6 gene on early stages of human neurogenesis on the cerebral organoids mode | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Karagyaur Maxim | Identification and establishment of functional significance of single nucleotide missense variants in brain morphogeniс genes in the context of psychiatric and cognitive disorders | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Smirnikhina Svetlana A | Correction of pathogenic variants of the CFTR gene for the development of treatments for cystic fibrosis | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Levchenko Olga | Перманентный экзон-скиппинг путем разрушения сайтов сплайсинга экзонов 43-55 гена DMD методом CRISPR/Cas9 | 9.3 Gene and genome editing in modeling human pathological disease processes |
| Vorobyeva Mariya | Aptamers to inflammationassociated proteins and their prospects for biomedical applications | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Frank Ludmila | Highly sensitive microassay based on artificial luciferase NLuc for the diagnosis of socially significant diseases | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Karpova Nataliia Sergeevna | Identification of shared and distinct genetic variants associated with type 2 diabetes mellitus and gestational diabetes mellitus | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Agareva Margarita | Semaglutide enhances the thermogenesis of beige adipocytes derived from mesenchymal stem cells of subcutaneous adipose tissue of patients with type 2 diabetes mellitus | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Naumenko Mariia | Shedding light on cell proliferation: cell culture monitoring using light scattering | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Kiseleva Diana | Proatherogenic potential of oxidative modifications in LDL | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Ziablitskaia Evgeniia | Study of mutations in the tissue of the main types of thyroid tumors in primary and metastatic foci | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Ziablitskaia Evgeniia | Predictive significance of polymorphisms of the VEGFA, eNOS, IFNL3, IL-6, TP53, ITGA2 genes in the diagnosis of colorectal cancer | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Lykov Alexander | Biological consequences of cyanobacteria and microalgae | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Ponomarenko Andrei Viktorovich | Evaluating the Impact of Omega-3 Fatty Acid (SolowaysTM) Supplementation on Lipid Profiles in Adults with PPARG Polymorphisms: A Randomized, Double-Blind, Placebo-Controlled Trial | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Dmitrienko Elena | Phosphorylguanidine derivatives of oligonucleotide as perspective tools for development of highly sensitive systems for nucleic acids diagnostics | 9.2 Molecular Pathology, Diagnostics, and Therapeutics |
| Shirinsky Ivan | The link between obesity and osteoarthritis: is it mechanical stress or something else? | 9.1 Gene expression and human diseases |
| Gorbacheva Anna | Splicing isoforms of SIRT1 in the liver of patients with metabolic syndrome - expectation/reality | 9.1 Gene expression and human diseases |
| Arakelyan Arsen | Assigning transcriptomic subtypes to CML/CLL samples using nanopore RNAsequencing and self-organizing maps | 9.1 Gene expression and human diseases |
| Michurina Svetlana | Overexpression of creatine kinase B and glycerol kinase activates thermogenic futile cycles in adipocytes | 9.1 Gene expression and human diseases |
| Kozhevnikova Oyuna | microRNA and response to antiVEGF therapy of neovascular age-related macular degeneration in a Russian cohort: experi-ence of use as a tool for personalized medicine | 9.1 Gene expression and human diseases |
| Bairqdar Ahmad | Differential expression of various LncRNAs and microRNAs in abdominally obese and nonobese individuals | 9.1 Gene expression and human diseases |
| Fedorenko Alisa | Knockout or Deletion of the UBE2A Gene Leads to Disruption of the Rho/ROCK Signaling Pathway and Impaired Migra-tion of Neural Cells Differentiated from iPSCs | 9.1 Gene expression and human diseases |
| Sorokin Anatoly | Modelling of bacterial metabolism and metabolic interspecies interactions in reach media | 8.4 Modeling and computational analysis of microbiological systems and processes |
| Rodic Andjela | Insights into the natural activation mechanism of the CRISPR-Cas immune system in Escherichia coli from a computational modeling analysis | 8.4 Modeling and computational analysis of microbiological systems and processes |
| Kazantsev Fedor | A software package to assess the metabolic potential of mutant strains of the Corynebacterium glutamicum | 8.4 Modeling and computational analysis of microbiological systems and processes |
| Popova Anastasiya | Search and description of diversity, evolution of restriction-modification systems in hyperthermophilic bacteria and archaea | 8.4 Modeling and computational analysis of microbiological systems and processes |
| Kulyashov Mikhail | Metabolic modeling of the production of a recombinant protein by methanotrophs | 8.4 Modeling and computational analysis of microbiological systems and processes |
| Sheremetieva Marina | L-Valine supersynthesis in edited Corynebacterium glutamicum cells and the reasons for its instability | 8.3 Industrial biotechnology: creation of producer strains |
| Titov Igor | How RNA secondary structure free energy landscape of ilvBNC operon transcriptional attenuator drives Corynebacterium glutamicum valine production | 8.3 Industrial biotechnology: creation of producer strains |
| Polyakova Elena | Microbial community diversity and metabolic potential in the Shulgan-Tash Cave: insights from metabarcoding and metagenomics | 8.2 Microbial communities of natural and anthropogenic habitats |
| Revel Muroz Anastasia | Hi-C metagenomic study of antimicrobial resistance genes spread in critically ill patients | 8.2 Microbial communities of natural and anthropogenic habitats |
| Ishmanov Tagir | Pipeline for processing metabarcoding data of fungi from natural communities | 8.2 Microbial communities of natural and anthropogenic habitats |
| Petrushin Ivan | Microbiome manipulation of potato with biostimulator Rhodococcus qingshengii VKM Ac2784D | 8.2 Microbial communities of natural and anthropogenic habitats |
| Klimina Ksenia | Impact of lactobacilli and bifidobacteria on mouse gut microbiota: comparative analysis of sequencing methods using Illumina and Oxford Nanopore Technologies platforms | 8.1 Biotechnology through the lens of the microbiome |
| Mikhanoshina Natalya | New aspects in the study of lactobacilli | 8.1 Biotechnology through the lens of the microbiome |
| Marsova Maria | Development of algorithms and approaches for the study of promising pharmaceutical strains using omix technologies | 8.1 Biotechnology through the lens of the microbiome |
| Stavrovskaya Alla | Эффекты применения пробиотического штамма U21 в комбинированных моделях паркинсонического синдрома у крыс | 8.1 Biotechnology through the lens of the microbiome |
| Galanova Olesya O | Application of machine learning algorithms to study the gut microbiota of patients with depressive disorders | 8.1 Biotechnology through the lens of the microbiome |
| Valeria Fedorets | The gut virome of healthy people and patients with ulcerative colitis: diversity and antimicrobial potential | 8.1 Biotechnology through the lens of the microbiome |
| Rustem A Ilyasov | Honey is a natural metatbiotic (postbiotic) product | 8.1 Biotechnology through the lens of the microbiome |
| Olekhnovich Evgenii | Predicting biological mechanisms of gut microbial influence on melanoma immunotherapy outcomes using metagenomic data | 8.1 Biotechnology through the lens of the microbiome |
| Zakharzhevskaya Natalya | Functional metabolomics in inflammatory bowel diseases | 8.1 Biotechnology through the lens of the microbiome |
| Tatiana Usenko | Targets for therapy of Parkinson's disease based on transcriptome analysis of the substance nigra of a mouse model with MPTP-induced parkinsonism and glucocerebrosidase dysfunction | 7.3 Neurogenomics and genetics of behavior |
| Olga Tarasova | An analysis of major depressive disorders using automated text analysis | 7.3 Neurogenomics and genetics of behavior |
| Shalaginova Irina | Differential gene expression and neuroimmune responses in the amygdala of rat strains with high and low nervous system excitability | 7.3 Neurogenomics and genetics of behavior |
| Korolenko Tatiana Alexandrovna | Db/db mice as diabetes genetic model;effect of trehalose, comparative study of liver, heart and brain | 7.2 Animal genetic models of human pathologies on vertebrates and invertebrates |
| Pupyshev Alexander Borisovich | New avenues for treatment with trehalose of mice with pharmacological and transgenic models of Alzheimer's disease | 7.2 Animal genetic models of human pathologies on vertebrates and invertebrates |
| Urin Avel | Phylogenetic analysis of the genomes of several sexual and parthenogenetic lizards of the genus Darevskia | 7.1 Genomics, genetics and systems biology of animals |
| Galina Arbuzova | Search and analysis of sequences encoding phenoloxidases of the endemic Baikal amphipod species Eulimnogammarus verrucosus | 7.1 Genomics, genetics and systems biology of animals |
| Zamalutdinov Aleksei | Cost-effective estimation of optimal number of reads in GBS sequencing | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Asan Emirsaliev | A unified data preprocessing framework to address inconsistencies in comparative plastid genome studies | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Konstantin Kozlov | Genomic prediction in plants using machine learning | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Yawar Habib | Identification of subpopulation in Russian soybean germplasm collection using advanced genetic methods | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Svetlana Afonnikova | Genome-wide association study reveals novel loci modulating pre-harvest sprouting and grain color in red-grained winter wheat T. aestivum L. | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Stanin Vladislav | Genetic diversity shaped by transposon variation in chickpea | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Zykova Tatyana | Restoring the function of the HvMyc2 gene, which controls the blue color of barley grain, through its targeted modification | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Sidorenko Aleksandra | Regulation of MAKR6 gene activity in Arabidopsis thaliana L. root | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Antonina Kiseleva | Functional characterization of genes with daily expression patterns in common wheat | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Victoria Kharchenko | Floral boundaries are sliding inside of inflorescences Arabidopsis thaliana with mutation of the gene APETELA1-1 | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Vodiasova Ekaterina | The transcription factor WRKY multigene family in grapevine (Vitis vinifera): genome-wide identification and evolution | 6 Genetics/genomics, bioinformatics and systems biology of plants |
| Voronina Olga | The contribution of molecular phylogenetic methods to the control of the diversity of the lung microbiome in patients with cystic fibrosis during complex therapy | 5.2 Molecular phylogenetics and phylogenomics of Plants, Fungi, Protists, Prokaryotes and Viruses |
| Rybina Anna | Phylogenetic analysis and molecular dynamic simulations of CsqR, a transcription factor from Escherichia coli | 5.2 Molecular phylogenetics and phylogenomics of Plants, Fungi, Protists, Prokaryotes and Viruses |
| Smirnov Alexey | Single-cell genomics – a powerful tool to resolve the phylogeny of uncultivable species of Amoebozoa | 5.2 Molecular phylogenetics and phylogenomics of Plants, Fungi, Protists, Prokaryotes and Viruses |
| Kamyshatskaya Oksana | Molecular phylogeny of amoeba familly Amoebidae (Euamoebida, Tubulinea, Amoebozoa) | 5.2 Molecular phylogenetics and phylogenomics of Plants, Fungi, Protists, Prokaryotes and Viruses |
| Chadaeva Irina | A principal components analysis and functional annotation of differentially expressed genes in brain regions of gray rats selected for tame or aggressive behavior | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Trapezov Oleg | Consequences of 26 generations of selection in minks (Neogale vison) on defensive reaction towards man | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Janko Skok | Testing the 'parasite-mediated domestication' hypothesis: a comparative approach to the wild boar and domestic pig as model species | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Yury Gusarov | Hydrophobic and aerophobic mitochondrial mutational spectrum of birds | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Kusliy Mariya | Preliminary results of determining the mitochondrial genetic diversity of Ovodov horses in Southern Siberia | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Baiandina Iuliia | Ctenophore opsins from Cydippida: phylogeny, structure, and potential ability for photoreception | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Lyudmila Zakharenko | The cytotype instability of the Drosophila melanogaster lines does not depend on the Pelement during intraspecific hybrid dysgenesis | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Irina Viktorovna Lazebnaya | Polymorphism of a number of candidate genes for economically important quantitative traits in the Kostroma cattle breed and its association with productive traits | 5.1 Population and evolutionary genetics/genomics of wild and domestic animals |
| Timoshchuk Anna | A genome-wide association study of the plasma Nglycome in 10,000 individuals identifies 16 novel loci and highlights glycan-associated human traits | 4.3 Genome-wide association studies |
| Elgaeva Elizaveta | Testing the potential of antihypertensive drugs for spinal pain treatment | 4.3 Genome-wide association studies |
| Khvorykh Gennady | The performance of machine learning approach in genomewide association study of disease | 4.3 Genome-wide association studies |
| Belonogova Nadezhda | Efficiency of a new multi-trait approach applied to back pain-related phenotypes | 4.3 Genome-wide association studies |
| Berdnikova Anna | Identification of the optimal reference panel for the imputation of genotype data from the Russian sample on the example of the RuDDS cohort | 4.3 Genome-wide association studies |
| Rozanova Irina | Genetic dissection of spike productivity traits in spring barley | 4.3 Genome-wide association studies |
| Leonid Penkin | MGI Comprehensive Solution for Whole Genome, Exome, and Metagenomic Analysis from MGI | 4.1 Population and evolutionary human genomics/genetics |
| Bushueva Olga | Genes encoding Hero proteins and ischemic stroke risk: a comprehensive moleculargenetic and bioinformatics analysis | 4.1 Population and evolutionary human genomics/genetics |
| Prostakishina Elizaveta | Spatial transcriptional landscape of early-onset tongue cancer | 4.1 Population and evolutionary human genomics/genetics |
| Vladimir Kharkov | Phylogeny and phylogeography of the Y-chromosome haplogroup N1a1a1a1a-F1419 | 4.1 Population and evolutionary human genomics/genetics |
| Proshakov Prokhor | Investigation of associations between aggressive behavior traits and genetic loci in a sample of contemporary armenian population representatives | 4.1 Population and evolutionary human genomics/genetics |
| Radzhabov Magomed Osmanovich | Differences Between Ethnic Groups in Dagestan Based on Ychromosomal Lines and Autosomal SNPs | 4.1 Population and evolutionary human genomics/genetics |
| Shpakov Alexander | Basic principles of allosteric regulation of hormonal receptors coupled to G proteins | 3.2 Pharmacology, cheminformatics and chemical biology |
| Biziukova Nadezhda | Application of text mining methods to extract comprehensive information about the biological activity of drugs: case-study for antiviral compounds | 3.2 Pharmacology, cheminformatics and chemical biology |
| Tarasova Olga | An analysis of virus-host interaction: case study for HIVinfection | 3.2 Pharmacology, cheminformatics and chemical biology |
| Vasilieva Asya | A GC-MS Chemotaxonomic Study on Lipophilic Compounds in the Leaves of Triticum aestivum L. | 3.2 Pharmacology, cheminformatics and chemical biology |
| Sobolevsky Alexandr | Gating and regulation of ionotropic glutamate receptors | 3.1 Structural biology of proteins, nucleic acids and membranes |
| Efremov Roman | “Dynamic molecular portrait” approach in computational structural biology of membrane proteins | 3.1 Structural biology of proteins, nucleic acids and membranes |
| Burtseva Anna | Structural studies of the LH2 and LH1-RC light-harvesting complexes from the purple sulfur bacterium Ectothiorhodospira haloalkaliphila | 3.1 Structural biology of proteins, nucleic acids and membranes |
| Mariasina Sofia | Protein-interacting C2H2-type zinc fingers: structural studies by NMR | 3.1 Structural biology of proteins, nucleic acids and membranes |
| Konarev Petr V | Methods for the analysis of small-angle X-ray scattering data from multicomponent biomolecular systems | 3.1 Structural biology of proteins, nucleic acids and membranes |
| Shaitan Konstantin | On the physical basis of the amino acid code for the 3D structure of proteins | 3.1 Structural biology of proteins, nucleic acids and membranes |
| Kaminskiy Grigory | Математическая эпидемиология 2024 - что нового? | 2.3 Mathematical epidemiology |
| Krivorotko Olga | The forecasting of the COVID-19 spread in Russian Federation regions based on conditional generative adversarial network | 2.3 Mathematical epidemiology |
| Petrakova Viktoria | Optimal control models for solving problems of mathematical epidemiology | 2.3 Mathematical epidemiology |
| Leonenko Vasiliy | Методы экономичного индивидуум-ориентированного моделирования городских процессов на примере изучения многолетней динамики гриппа в городах РФ | 2.3 Mathematical epidemiology |
| Marko Djordjevic | Modeling bistable dynamics of bacterial restriction-modification systems to understand bacterial defense systems | 2.2 Computational analysis and modeling of population, ecological and genetic systems and processes |
| Bratus Alexander | Dynamics of population with consecutive mutation of genotypes | 2.2 Computational analysis and modeling of population, ecological and genetic systems and processes |
| Bojana Ilic | Integrated mathematical modeling, experimental and bioinformatics study of Type-II antitoxin-toxin system's response to antibiotic exposure | 2.2 Computational analysis and modeling of population, ecological and genetic systems and processes |
| Ediev Dalkhat | Demographics of genetic admixture and expansion | 2.2 Computational analysis and modeling of population, ecological and genetic systems and processes |
| Kolodkin Alexey | Biology of next epidemics: 3 dimensions of emergence and ORCHESTRA experience | 2.1 Reconstruction, computational analysis and modeling of gene networks and metabolic pathways |
| Ashniev German A | Genomics-based Reconstruction of Chitin and Xanthan Oligo-saccharides Degradation Pathways in the Human Gut Microbiome | 2.1 Reconstruction, computational analysis and modeling of gene networks and metabolic pathways |
| Kanapin Alexander | Retrotransposons expression controls: hubs and networks | 2.1 Reconstruction, computational analysis and modeling of gene networks and metabolic pathways |
| Popov Daniil | Disuse-induced transcriptomic changes vary in different skeletal muscles: common and unique mechanisms | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Borvinskaya Ekaterina | Antibacterial Activity of Rainbow Trout Plasma: In Vitro Assays and Proteomic Analysis | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Klimina Ksenia | Transcriptional Responses of Lacticaseibacillus rhamnosus to IL-8 and IL-10 Cytokines | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Shcherbakova Anastasia | ACME HS dissociation: an adaptable cell fixationdissociation method for freshfrozen human adrenal gland tissues for scRNA-seq | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Bezuglov Vitalik | Approaches for sRNA Analysis of Human RNA-Seq Data: Comparison, Benchmarking | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Kuznetsov Vladimir | Roles of the transcriptional Rloop forming sequences (RLFS) and RLFS(+)R-loops in normal and cancer cell states. Critical review | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Deryuzhenko Maksim | Search and identification of differentially expressed Drosophila melanogaster heat stress response genes with a low degree of expression change | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Pronozin Artem | Pan-transcriptome-based long non-coding RNAs prediction and analysis | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Prazyan Alexander | Molecular Mechanisms of Barley Cell Wall Response to Different Types of Ionising Radiation | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Chadaeva Irina | Ontology analysis of big transcriptomic data and differential gene expression | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Evdokimova Alexandra | Exploring Tissue-Specific Effects of 20-Hydroxyecdysone Through E23 Hormone Transporter Expression in Drosophila | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Gruntenko Nataly | Drosophila melanogaster transcriptome response to Wolbachia infection | 1.4 Genome-wide transcriptomics (differential gene expression) |
| Shevelyov Yuri | Disruption of inter-nucleosomal interactions leads to notable changes in genome architecture | 1.3 Fundamental and applied 3D-genomics |
| Pletenev Ilya | 3D structure of long-range neuronal polycomb interactions in the human brain cortex | 1.3 Fundamental and applied 3D-genomics |
| Lagunov Timofey | Modeling spatial organization of lamp brush chromosomes | 1.3 Fundamental and applied 3D-genomics |
| Krasikova Alla | Monogenic and multigenic transcription loops in lampbrush chromosomes of birds | 1.3 Fundamental and applied 3D-genomics |
| Kabirova Evelyn | Cohesin degradation effect on mechanical properties of human colon tumor cells | 1.3 Fundamental and applied 3D-genomics |
| Grinenko Tatyana | Dormancy regulation of hematopoietic stem cells | 1.2 Regulatory genomics |
| Levitsky Victor G | MetArea tool for predicting structural variability and cooperative binding of transcription factors in ChIPseq data | 1.2 Regulatory genomics |
| Tsukanov Anton Vitalievich | Identification of potential transcription factors from whole transcriptome data by taking into account enrichment and classification of motifs of known transcription factors, and their expression levels | 1.2 Regulatory genomics |
| Konstantin Yuditskiy | Unlocking DNA methylation with BSXplorer | 1.2 Regulatory genomics |
| Bespalova Alina | The role of non-coding RNAs in the epigenetic conversion of gene loci | 1.2 Regulatory genomics |
| Buyan Andrey | Tissue-specific and allele- specific activity of transcribed gene regulatory elements in human skeletal muscle | 1.2 Regulatory genomics |
| Penzar Dmitry | Machine learning for rational design and reliable prediction of activity of gene regulatory regions | 1.2 Regulatory genomics |
| Zhimulev Igor | Developmental and housekeeping genes in the genome of Drosophila melanogaster | 1.1 Structural-functional organization of genomes |
| Daria Dibrova | COGcollator 2.0: an improved web server for analysis of distant relationships between homologous protein families | 1.1 Structural-functional organization of genomes |
| Eugene Korotkov | Bacterial genomes are internally formatted | 1.1 Structural-functional organization of genomes |
| Romanenko Svetlana | Relevance of integration of cytogenetics data and chromosome length genome assemblies at the example of various vertebrates` groups | 1.1 Structural-functional organization of genomes |
| Konanov Dmitry | Systematic analysis of tandem genome amplification events in Yersinia pestis | 1.1 Structural-functional organization of genomes |
| Rudenko Valentina | Structural organization of the eukaryotic genome by example of C. merolae | 1.1 Structural-functional organization of genomes |
| Irina Makarova | Non-B DNA Structures Adjacent to Ultraconserved Non-Coding Elements Unveiled | 1.1 Structural-functional organization of genomes |
| Shipova Aleksandra | Deciphering the structural organization of sex chromosomes in Siberian silk moth, Dendrolimus sibiricus | 1.1 Structural-functional organization of genomes |
| Alexei Fedorov | Ultra-Conserved Non-Coding Elements in the human genome. Their possible functions and association with diseases. | 1.1 Structural-functional organization of genomes |
| Vladimir Ivanisenko | Automated reconstruction and analysis of gene networks using cognitive system ANDSystem. | 2.1 Reconstruction, computational analysis and modeling of gene networks and metabolic pathways |
| Tatyana Kolesnikova | Polytene chromosomes as a tool to identify factors influencing the efficiency of DNA replication initiation. | 11.1 DNA replication and repair |
