Interactive Poster Session
Rules for submission and presentation of materials in the poster session (physical and interactive)
| Authors | Poster | Symposium | Keywords |
|---|---|---|---|
| Simonov R.A., Mikhaleva E.A., Ivannikova A.Y., Shevelyov Y.Y. | Depletion of nucleoporin Elys does not result in cell cycle defects in Drosophila S2 cells | 1. “Genomics, transcriptomics and bioinformatics” | cell cycle, Drosophila, Elys, kinetochore, nucleoporin |
| Mutin A.D., Saranchina A.E., Rzhechitskiy Y.A., Pomazkin V.K., Timofeyev M.A., Drozdova P.B. | Web application speCOIdent for the analysis of genotyping results for cryptic species of Baikal amphipods belonging to the genus Eulimnogammarus | 1. “Genomics, transcriptomics and bioinformatics” | amphipods, Baikal, cytochrome c-oxidase (subunit I), molecular phylogenetics, speCOIden |
| Grushina V., Pintus S. | Prediction and annotation of alternative transcription starts in the chicken genome | 1. “Genomics, transcriptomics and bioinformatics” | CAGE, Gallus gallus genome, promotor shift, transcription start sites |
| Penzin N., Penzar D. | Application of evolutionary augmentations to work with genomic sequences | 1. “Genomics, transcriptomics and bioinformatics” | Augmentation, EvoAug, LegNet |
| Ponomarenko M., Chadaeva I., Filonov S., etc | RatDEGdb: a knowledge base of differentially expressed genes in the rat as a model object in biomedical research | 1. “Genomics, transcriptomics and bioinformatics” | animal models of human diseases, DEG, knowledge base, microarrays, PCR, Rattus norvegicus, RNA-seq |
| Tverdokhleb N., Chadaeva I., Filonov S., etc | Candidate SNP markers significantly altering the affinity of TATA-binding protein for the promoters of human hub genes for atherogenesis, atherosclerosis and atheroprotection | 1. “Genomics, transcriptomics and bioinformatics” | atherogenesis, atheroprotection, atherosclerosis, candidate SNP marker, gene expression change, hub gene, in silico verification, natural selection, SNP, TBP |
| Podkolodnaya O, Chadaeva I., Zolotareva K., etc | Promoters of genes encoding β-amylase, albumin, and globulin in food plants have weaker affinity for TATA-binding protein as compared to non-food plants: in silico analysis | 1. “Genomics, transcriptomics and bioinformatics” | albumin, allergen, food, globulin, plants, spontaneous artificial selection, β-amylase |
| Zolotareva K., Chadaeva I., Khandaev B., etc | AtSNP_TATAdb: a knowledge base of uniform guess of how promoter proximal SNPs alter Arabidopsis gene expression | 1. “Genomics, transcriptomics and bioinformatics” | SNP |
| Pavlov S.R., Gursky V.V., Samsonova M.G., Kanapin A.A., Samsonova A.A. | Model of energy balance in cells influenced by the cancer-specific abnormal activity of retrotransposons | 2. “Systems Computational Biology” | anticancer therapy, apoptosis, energy balance, mobile genetic elements, retrotransposons |
| Volyanskaya A.R., Osik N.A., Yanshole L.V., Tsentalovich Yu.P., Gusev O.A., Kolpakov F.A., Akberdin I.R. | Structural peculiarities in the FOXO1 signaling pathway mediated differences in the dynamics of neuropeptides expression regulating feeding behavior in slow- and fast-growing chickens | 2. “Systems Computational Biology” | mathematical modeling, poultry, feed intake regulation, AMPK/mTOR signaling pathway |
| Sushkov R.V., Mochalov A.V., Orlov Y.L., Savina E.A. | Database queries for prediction and analysis of the spatial structure of the protein disulfide isomerase enzyme of the A4 family of humans and animals | 3. “Structural biology and pharmacology: computational and experimental approaches” | correlation of protein structures, databases, medical informatics, phylogeny medical informatics, phylogeny, protein disulfide isomerase, statistical processing |
| Bogdanova E., Chernukhin A., Shaitan K., Novoseletsky V. | Using a neural network algorithm to predict binding affinity in ACE2-RBD protein-protein complexes | 3. “Structural biology and pharmacology: computational and experimental approaches” | binding affinity, coronavirus, neural networks, protein-protein complexes |
| Tereshkina K.B., Tereshkin E.V., Kovalenko V.V., Krupyanskii Y.F., Loiko N.G. | Dynamics of DNA binding to stress-associated DNA-stabilizing bacterial proteins | 3. “Structural biology and pharmacology: computational and experimental approaches” | all-atom molecular modeling, bacterial DNA stabilization, DNA-Dps crystals, Dps protein, ferritin-like proteins in bacteria |
| Kalitvanskaya M.A., Makarov D.A., Khandazhinskaya A.L., Anashkina A. A. | Search for possible molecular targets of new anti-tuberculosis compounds | 3. “Structural biology and pharmacology: computational and experimental approaches” | anti-tuberculosis compounds, targets, tuberculosis |
| Mokrushnikov P., Rudyak V. | Formation of protein-lipid domains in plasma membranes | 3. “Structural biology and pharmacology: computational and experimental approaches” | protein-lipid domains, protein-protein and protein-lipid interactions, structural changes in plasma membranes, β-structures |
| Hamad M. S., Mikhail A. Pokrovskii, Hamad S.S., Usenov K., Andrey G. Pokrovskii, Elizaveta M. Shinkarenko, Anastasia O. Finke, Maksim E. Mironov, Elvira E. Shults | In vitro cytotoxic potential in human cancer cell line (C33a HPV-negative counterparts cervical cancer cell) of plant alkaloid, terpenoid and steroid derivatives | 3. “Structural biology and pharmacology: computational and experimental approaches” | Anticancer, Antitumor, apoptosis, Cytotoxicity, Herbal medicine, Medicinal plant |
| Martin C., Calderón R., Nahuat, N., Conde, L., González M. R., Kantún N. | Revealing G-quadruplex DNA structures in HPV16 using quantitative PCR stop and ligands | 3. “Structural biology and pharmacology: computational and experimental approaches” | DNA, G-quadruplexes, HPV 16, Ligands, qPCR Stop |
| Krivosheev A.S., Golovin A.V. | Binding free energy of small molecule/GLP-1R complexes calculations with funnel metadynamics | 3. “Structural biology and pharmacology: computational and experimental approaches” | binding free energy, diabetes mellitus, funnel metadynamics, GLP-1R, molecular dynamics, obesity, small molecules |
| Chuiko Ya.V., Golovin A. V. | Calculating of SARS-CoV-2 RBD and antibody complex energy by metadynamics in MARTINI 3 for evaluating complex free energy | 3. “Structural biology and pharmacology: computational and experimental approaches” | antibody design, generative models, metadynamics, molecular dynamics |
| Goncharova I.A., Zarubin A.A., Shipulina S.A., Panfilov D.S., Kozlov B.N., Nazarenko M.S. | DNA methylation of non-coding RNA genes in aneurysm and atherosclerosis of the ascending aorta | 4. “Evolutionary, population and medical genomics/genetics of human” | aneurysm and atherosclerosis of ascending aorta, DNA methylation, non-coding RNA |
| Pristyazhnyuk I., Minina J., Voinova V., Safonova M., Lagarkova M., Menzorov A. | Generation of three iPSC lines from fibroblasts of a patient with Cohen syndrome | 4. “Evolutionary, population and medical genomics/genetics of human” | Cohen syndrome, iPSCs |
| Mednova I.A., Pozhidaev I.V., Paderina D.Z., Petkun D.A., Kornetova E.G., Ivanova S.A. | Association between eNOS rs753482 polymorphism and abdominal obesity in patients with schizophrenia taking atypical antipsychotics | 4. “Evolutionary, population and medical genomics/genetics of human” | metabolic disorders, pharmacogenetics, schizophrenia, single nucleotide polymorphism |
| Vyalova N., Mikhalitskaya E., Paderina D., Pozhidaev I., Roschina O. | Association of a polymorphic variant of IL6 gene with the severity of depressive symptoms | 4. “Evolutionary, population and medical genomics/genetics of human” | depression, gene polymorphism, interleukin 6, severity of the disease |
| Barbitoff Y., Changalidis A., Glotov A. | Assessing the performance of tools for functional annotation of GWAS results using simulated data | 4. “Evolutionary, population and medical genomics/genetics of human” | complex traits, genetic variant, GWAS, simulated data |
| Nikonova E.O., Komech E.A., Barinova A.A., Samitova A.F., Belova V.A., Buyanova A.A., Repinskaya Z.A., Suchalko O.N., Korostin D.O., Lukyanov S., Zvyagin I.V. | Discovery Of Somatic Mutations Associated With Clonally Expanded T cells | 4. “Evolutionary, population and medical genomics/genetics of human” | ankylosing spondylitis, autoimmune diseases, clonally expanded T cell, cytomegalovirus, somatic mutations, T cell regulation |
| Kobzeva K., Dorofeeva A., Bushueva O. | HSP90AA1 gene polymorphisms and the risk of ischemic stroke | 4. “Evolutionary, population and medical genomics/genetics of human”, | chaperones, HSP90AA1, ischemic stroke, SNP |
| Vitalik Bezuglov, Victoria Shtratnikova, Alexander Suvorov, Russ Hauser and Oleg Sergeyev | Association of pubertal trajectories with molecular markers and health outcomes in young men: prospective cohort study | 4. “Evolutionary, population and medical genomics/genetics of human”, | epigenetic program, hormones, microRNA, piRNA, pubertal progression, RNA-seq, semen quality, small RNA, sperm, tRNA-derived small RNA |
| Lazareva T., Barbitoff Y. | Systematic analysis of genetic variants with conflicting interpretations of pathogenicity | 4. “Evolutionary, population and medical genomics/genetics of human”, | ClinVar, genetic variant, variant interpretation |
| Glotova A., Nassonova E., Abakumov E., Smirnov A. | Culture independent barcoding of naked lobose amoebae (Amoebozoa: Tubulinea, Discosea, Variosea) from freshwater and soil habitats | 5. “Evolutionary, population genomics/genetics and molecular phylogeny” | Amoebozoa, biogeography, Discosea, metabarcoding, Tubulinea, Variosea |
| Nassonova E., Glotova A. | Metabarcoding study of the phylogenetic diversity of basal Holomycota (Opisthokonta) in the bottom sediments of Turovskoe Lake (Northwestern Russia) | 5. “Evolutionary, population genomics/genetics and molecular phylogeny” | Aphelida, Holomycota, metabarcoding, Microsporidia, molecular phylogeny, Rozellida |
| Azarova D.S., Zemlyanskaya E.V., Lavrekha V.V. | DyCeModel: a tool for 1D simulation for plant hormones control of tissue patterning using shoot and root apical meristems of Arabidopsis thaliana as examples | 6. “Genetics/genomics, bioinformatics and systems biology of plants” | computer modelling, developmental trajectory, genetic algorithm, input data, plant hormones |
| Maria Duk, Gurkina M.V., Nekrasov A.Y. | GWAS using the IIIVmrMLM model provides new genomic as-sociations with agronomic traits in Chickpea | 6. “Genetics/genomics, bioinformatics and systems biology of plants” | chickpea, Cicer arientinum, favorable alleles, GWAS, IIIVmrMLM |
| Ivanova E.A. | Eco-genomic stress-resistance of plants as strategy and tactics: supramolecular-proteomic system of developmental biology | 6. “Genetics/genomics, bioinformatics and systems biology of plants” | Interphase chromatin topology, Karyogenomics wheat, Proteomics, signaling systems, Supramolecular biochemistry |
| Sannikova A.V., Sharipova M.R., Shakirov E.V., Valeeva L.R. | Intra- and interspecific variations in the telomere length of bryophytes | 6. “Genetics/genomics, bioinformatics and systems biology of plants” | Ceratodon purpureus, liverworts, Marchantia polymorpha, mosses, Physcomitrium patens, Sphagnum, telomeres |
| Duk M., Gursky V., Samsonova M., Surkova S. | Application of mathematical modeling to analyze the flowering activation motif during vernalization in legumes | 6. “Genetics/genomics, bioinformatics and systems biology of plants” | dynamical model, feed-forward loop, flowering, gene networks, legumes, vernalization |
| Orbant M.O., Babochkina T.I., Fedorova S.A. | Methylsulfonylmethane (MSM) increases the expression (genetic) noise, but has no effect on the fertility and life span of D. melanogaster | 7. “Genetics/genomics, bioinformatics and systems biology of animals” | DMSO2, expression noise, genetic noise, MSM, phenotype |
| Zhukova M., Yakovlev K., Shidlovskii Y. | The use of CRSIPR/Cas9 scarless system to generate Drosophila melanogaster line with point mutations | 7. “Genetics/genomics, bioinformatics and systems biology of animals” | CRSIPR/Cas9, Drosophila, genetic engineering, site-directed mutagenesis |
| Velichko A.A.*, Milovidov G. D., Deryusheva E.I., Shevelyova M.P., Nemashkalov, V. A. | In silico search and analysis of mutant forms of increased thermostability of the industrially important enzyme savinase from Bacillus lentus by optimizing its surface charge-charge interactions | 8. “Microbiology & Biotechnologies: computational and experimental approaches” | AlphaFold, electrostatic interactions, savinase, thermal stability, TKSA-MC |
| Loginov V.I., Burdennyy A.M., Pronina I.V., Lukina S.S., Braga E.A. | Modern assessment of ncRNAs as biomarkers of prognosis in clear cell renal cell carcinoma | 9. “Biomedicine, bioinformatics and systems computational biology” | ccRCC, clear cell renal cell carcinoma, lncRNA, miRNA, mRNA |
| Burdennyy A.M., Loginov V.I., Pronina I.V., Braga E.A. | Competing endogenous RNAs as non-small cell lung cancer markers | 9. “Biomedicine, bioinformatics and systems computational biology” | long non coding RNA, lung adenocarcinoma, squamous cell carcinoma, tumor markers |
| Polyakova E.1, Beresten S., Belevtsev M. | Assessment of the effect of reproductive pathology on the number of TREC/KREC copies in the dry blood spot in premature newborns | 9. “Biomedicine, bioinformatics and systems computational biology” | premature newborns, real-time PCR, reproductive pathology, TREC/KREC |
| Lykov A., Gevorgiz R., Zheleznova S., Uvarov I., Poveshchenko O. | Mesenchymal stem cell proliferation and NO production under cyanobacteria and microalgae condition | 9. “Biomedicine, bioinformatics and systems computational biology” | cyanobacteria, mesenchymal stem cells, microalgae, NO, proliferation |
| Bykov Yu.V., Bykova A.Yu., Bekker R.A. | On the role of genetic testing in finding the root cause of the treatment resistance of major depressive disorder (A Clinical Case) | 9. “Biomedicine, bioinformatics and systems computational biology” | adenosine deaminase, methylenetetrahydrofolate reductase, P450 cytochromes, treatment resistant depression |
| Sinitskaya A., Kostyunin A., Asanov M., Poddubnyak A., Khutornaya M., Sinitsky M. | Proteomic profiling of native heart valves affected by infective endocarditis | 9. “Biomedicine, bioinformatics and systems computational biology” | differentially expressed proteins, infective endocarditis, mass spectrometry, native heart valves, proteome |
| Khvorykh G., Ageeva E. | The genes and eQTLs to unravel the genetic underpinnings of skin wrinkling and sagging | 9. “Biomedicine, bioinformatics and systems computational biology” | genes, single nucleotide polymorphism, skin aging |
| M.O. Shedenkova, D.I. Salikhova, A.A. Nekrasova, Z.V. Bakaeva, D.V. Goldshtein | Extracellular vesicles of human glial progenitor cells exhibit neuroprotection by modulating the PI3K-Akt pathway in glutamate excitotoxicity | 9. “Biomedicine, bioinformatics and systems computational biology” | extracellular vesicles, glial progenitor cells, glutamate excitotoxicity, iPSCs, neuroprotection, proteome |
| Asainov D., Kirillov B. | Application of Interpretive Machine Learning methods to find transcriptomic biomarkers of Alzheimer's disease | 9. “Biomedicine, bioinformatics and systems computational biology” | Alzheimer’s disease, biomarkers, machine learning, transcriptome |
| Borkovskaya E., Vilinski-Mazur K., Kolomenskiy D., Kirillov B. | Active machine learning for experimental planning for 3D printing of biocompatible scaffolds | 9. “Biomedicine, bioinformatics and systems computational biology” | 3D bioprinting, active learning, biocompatible scaffolds, machine learning |
| ZalomaevaE.S., EgozovaE.S., MedvedevaA.V., ZhuravlevA.V., Nikitina Е.А. | The effect of changes limk1 gene expression in dopaminergic, serotonergic andfruitless neurons on learning and forgetting | 10. “Cognitive science, neurogenetics, neuroinformatics and systems computational biology” | Drosophila melanogaster, forgetting, learning, limk1, memory |
| Baltin S. M., Suspitsyna A. D., Shepelev N. M., Rubtsova M. P., Dontsova O. A | Regulatory Functions of the Upstream Open Reading Frame in mRNA of the MCRS1 Human Gene | 11. “Fundamental genetic/cellular systems/processes” | MCRS1, mRNA, small open reading frame, sORF, translation, uORF |
| Petoukhov S.V. | Binary-genomic numbers and symmetries of the universal rules of statistical organization of genomic DNAs | 12. “Mathematical problems of bioinformatics and systems computational biology” | bioinformatics, dichotomies, fractal networks, genomic DNA, multi-level texts, probability rules, symmetries |
| Buzanov G., Makeev V. | Constructing an exclusive Gene Functional Annotation with the help of a Graph-Based MetaAnalysis | 12. “Mathematical problems of bioinformatics and systems computational biology” | Enrichr database, functional annotation, gene clustering, gene functions, graph-based algorithm, OpenOrd |
| Dedok V. | Decentralized algorithm for nucleotide sequence alignment | 12. “Mathematical problems of bioinformatics and systems computational biology” | parallel computing, sequence alignment, string similarity |
| Golubyatnikov V.P. , Tatarinova E.A. | Analytical and numerical modeling of a pluripotency gene network | 12. “Mathematical problems of bioinformatics and systems computational biology” | equilibrium points, gene network models, positive and negative feedbacks, stability |
| Bondareva A., Kirillov B. | In silico modeling for biochemical processes of liver fibrosis based on physics-informed machine learning | 12. “Mathematical problems of bioinformatics and systems computational biology” | PIML, liver fibrosis, mathematical modeling, direct biomarkers, machine learning, differential equations |
| Seikin A., Kirillov B. | Machine learning in predicting freezing of gait events using ultra-resource-constrained computational devices | 12. “Mathematical problems of bioinformatics and systems computational biology” | movement disorders, neural networks, Parkinson’s disease, tinyML |
| Andreev Y. A., Pasyukova E. G. | Impact of post-transcriptional regulation of expression of the gene encoding GSK3 protein kinase in the control of tissue homeostasis and survival in Drosophila melanogaster | 13. “Genetics and systems biology of aging” | adipose tissue, Drosophila melanogaster, GSK3, Homeostasis, survival |
| Gorbunova A.A., Shaposhnikov M.V., Babak T.V., Koval L.A., Moskalev A.A. | Effect of deletions of the CBS, CSE and MST hydrogen sulfide biosynthesis genes under restricted intake of sulfur-containing amino acids (methionine and cysteine) on the viability of Drosophila melanogaster | 13. “Genetics and systems biology of aging” | 3-mercaptopyruvate sulfurtransferase, cystathionine-β-synthase, cystathionine-γ-lyase, cysteine, deletions, hydrogen sulfide, methionine |
| Bykov Yu.V., Bykova A.Yu., Bekker R.A. | Using the knowledge of system and molecular biology in the development of individualized program to slow down the Alzheimer Disease process (A Clinical Case Presentation) | 13. “Genetics and systems biology of aging” | Alzheimer Disease, cyclooxygenase type 2, glycogen synthase kinase 3-beta, histone deacetylase, sirtuin-1 |