{"id":207,"date":"2021-08-24T11:19:26","date_gmt":"2021-08-24T04:19:26","guid":{"rendered":"https:\/\/conf.icgbio.ru\/bgrssb2014\/?page_id=207"},"modified":"2021-08-24T14:01:18","modified_gmt":"2021-08-24T07:01:18","slug":"oral_poster","status":"publish","type":"page","link":"https:\/\/conf.icgbio.ru\/bgrssb2014\/oral_poster\/","title":{"rendered":"\u0420\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u0434\u043e\u043a\u043b\u0430\u0434\u043e\u0432"},"content":{"rendered":"<p><strong>\u0423\u0432\u0430\u0436\u0430\u0435\u043c\u044b\u0435 \u043a\u043e\u043b\u043b\u0435\u0433\u0438!<\/strong><\/p>\n<p>\u041f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u0443\u0441\u0442\u043d\u044b\u0445 \u0438 \u043f\u043e\u0441\u0442\u0435\u0440\u043d\u044b\u0445 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 (\u0441\u043f\u0438\u0441\u043e\u043a \u043f\u0440\u0438\u043d\u044f\u0442\u044b\u0445 \u0442\u0435\u0437\u0438\u0441\u043e\u0432).<br \/>\n\u0420\u0430\u0431\u043e\u0447\u0438\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f. \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u044b \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u043a\u0438.<\/p>\n<p>\u0414\u0430\u0442\u044b \u0438 \u0432\u0440\u0435\u043c\u044f \u0443\u0441\u0442\u043d\u044b\u0445 \u0432\u044b\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439 \u0431\u0443\u0434\u0443\u0442 \u0443\u0442\u043e\u0447\u043d\u0435\u043d\u044b \u043f\u043e\u0437\u0436\u0435.<\/p>\n<p>\u041f\u0440\u043e\u0441\u044c\u0431\u0430 &#8212; \u043e\u043f\u043b\u0430\u0442\u0438\u0442\u044c \u043e\u0440\u0433\u0432\u0437\u043d\u043e\u0441\u044b \u0434\u043e<strong>\u00a02 \u0438\u044e\u043d\u044f<\/strong>\u00a0(\u0447\u0442\u043e\u0431\u044b \u0412\u0430\u0448\u0438 \u0442\u0435\u0437\u0438\u0441\u044b \u0431\u044b\u043b\u0438 \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u044b \u0432 \u0441\u0431\u043e\u0440\u043d\u0438\u043a \u0442\u0440\u0443\u0434\u043e\u0432 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438).<\/p>\n<p><a href=\"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-content\/uploads\/sites\/45\/2021\/08\/BGRSSB-2014_from_05.06.2014_ENGLISH_.pdf\" target=\"_blank\" rel=\"noopener\">\u0424\u0438\u043d\u0430\u043b\u044c\u043d\u043e\u0435 \u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 \u0440\u0430\u0437\u043c\u0435\u0449\u0435\u043d\u043e \u043f\u043e \u044d\u0442\u043e\u0439 \u0441\u0441\u044b\u043b\u043a\u0435.<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><strong>BGRS\\SB-2014<br \/>\nBioinformatics of Genome Regulation and Structure\\Systems Biology<br \/>\nSYSTEM BIOLOGY SYMPOSIUM<\/strong><\/p>\n<p>PLENARY SESSION<\/p>\n<p>Prof. Ruan Y. From 1D information to 3D genome structure and function<br \/>\nProf. Rzhetsky A. Machine Science<br \/>\nProf. Kaderali L. To be announced<br \/>\nProf. Stepanov V.A. Adaptive evolution of genetic diversity and human diseases<\/p>\n<p><strong>EVOLUTIONARY BIOLOGY<\/strong><br \/>\n<strong>Oral<\/strong><br \/>\n<u>Keynote talks<\/u><\/p>\n<ol>\n<li><strong><em>Liberles D.<\/em>\u00a0<\/strong>Lineage-Specific Processes of Genome Diversification<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><em><strong>Gunbin K.V.<\/strong><\/em>, Afonnikov D.A. Selective shifts in recent evolution of Metazoa<\/li>\n<li>Klimenko A. I., Matushkin Yu.G.,\u00a0<strong><em>Lashin S.A.<\/em><\/strong>\u00a0Modeling evolution of spatially distributed bacterial communities simulation with Haploid Evolutionary Constructor<\/li>\n<li><em><strong>Naumoff D.G.<\/strong><\/em>\u00a0Bioinformatic analysis of endo-beta-xylanases from Planctomycetes<\/li>\n<li><em><strong>Reva O.<\/strong><\/em>, Korotetskiy I., Ilin A. Discovery of the role of horizontal gene exchange in evolution of pathogenic mycobacteria.<\/li>\n<li><strong><em>Sormacheva I.D.<\/em><\/strong>, Smyshlyaev G.A., Blinov A.G. Transposable elements &#171;flying&#187; between lepidoptera species.<\/li>\n<li><em><strong>Zhong B.<\/strong><\/em>\u00a0Streptophyte algae and the origin of land plants revisited using the chloroplast genomes and nuclear genes.<\/li>\n<\/ol>\n<p><strong>Poster<\/strong><\/p>\n<ul>\n<li><em>Bukin Y.S.\u00a0<\/em>Package of functions for script programming language R for testing the convergence of population samples of DNA sequences<\/li>\n<li><em>Diallo A.B.\u00a0<\/em>A probabilistic framework for gene-tree reconstruction and reconciliation to a known species tree in the presence of duplication, loss and horizontal gene transfer<\/li>\n<li><em>Gunbin K.V., Afonnikov D.A., Kolchanov N.A., Rogaev E.I., Derevianko A.P.\u00a0<\/em>Homo sapiens denisova craftsmanship can be related with evolution of the miRNAs regulating mRNAs<\/li>\n<li><em>Gunbin K.V., Afonnikov D.A., Orlov Y.L.\u00a0<\/em>Molecular evolution of mammalian orthologous protein groups involved in stem cell specificity<\/li>\n<li><em>Gunbin K.V., Afonnikov D.A.\u00a0<\/em>The relation between environmental changes and evolution of Archaea protein domains.<\/li>\n<li><em>Gunbin K.V., Ponomarenko M.P., Afonnikov D.A., Gusev F., Rogaev E.I.\u00a0<\/em>What evolution of hominid TATA-boxes can tell us about human lineage?<\/li>\n<li><em>Gunbin K.V. , Levitsky V.G., Vershinin A.V.\u00a0<\/em>What evolution of rye subtelomeric repeats can tell us about cereals speciations?<\/li>\n<li><em>Katugina A.O., Kartavtsev Y.F.\u00a0<\/em>Comparative genetic analysis of three Far Eastern species of the genus Tribolodon according to sequence data of mitochondrial DNA CO-1 region.<\/li>\n<li><em>Lashin S.A., Suslov V.V., Gunbin K.V.\u00a0<\/em>Forward-time simulation of evolutionary processes in ancient populations using the Diploid Evolutionary Constructor<\/li>\n<li><em>Lenskiy S.V., Lenskaya T.I.\u00a0<\/em>Search for evolutional invariants by rank distribution of gene density in hominids<\/li>\n<li><em>Maikova O.O., Sherbakov D.Yu., Belikov S.I.\u00a0<\/em>The two hypotheses of Baikal endemic sponge (Lubomirskiidae) evolution<\/li>\n<li><em>Mustafin Z.S., Matushkin Yu.G., Lashin S.A.<\/em>\u00a0Allelic coadaptation and fitness landscape predetermine the optimal evolutionary mode in prokaryotic communities: a simulation study<\/li>\n<li><em>Sherbakov D.Yu., Adelshin R.V., Anikin A.S., Gornov A.Yu.\u00a0<\/em>Methods of detection and estimation of evolutionary conserved elements of RNA secondary structure.<\/li>\n<li><em>Borzov E.A., Mehta R., Baranova A.V., Skoblov M.Yu.<\/em>\u00a0Whole-genome comparative analysis of CpG islands between human and chimpanzee<\/li>\n<li><em>Sokolov V.S., Gunbin K.V., Matushkin Y.G.\u00a0<\/em>Variation of elongation efficiency index of Archaea genes during evolution<\/li>\n<li><em>Suslov V.V., Ponomarenko M.P., Gunbin K.V.\u00a0<\/em>Evolution of modern human and recombination of memes<\/li>\n<li><em>Suslov V.V.<\/em>\u00a0Invasion, adaptation and evolution: when all out of sync<\/li>\n<li><em>Suslov V.V., Safronova N.S., Orlov Y.L., Afonnikov D.A.\u00a0<\/em>\u00a0The genomic text characteristics and GC content are related to the bacterial genome evolution<\/li>\n<li><em>Turnaev I.I., Gunbin K.V., Akberdin I.R., Mironova V.V., Omelyanchuk N.A., Afonnikov D.A.\u00a0<\/em>Increasing the number of paralogs for enzymes involved in tryptophan biosynthesis during the evolution of land plants<\/li>\n<li><em>Zverkov O.A., Seliverstov A.V., Lyubetsky V.A.<\/em>\u00a0A database of Rhodophyte plastid protein families and regulation of moeB genes<\/li>\n<\/ul>\n<p><strong>GENOMICS AND EPIGENETICS<\/strong><br \/>\n<strong>Oral<\/strong><\/p>\n<p><u>Keynote talks<\/u><\/p>\n<ol>\n<li>Nedoluzhko A.V., Boulygina E.S., Sokolov A.S., Tsygankova S.V., Schubert M., Gruzdeva N.M., Rezepkin A.D., Orlando L.,\u00a0<em><strong>Prokhortchouk E.B.\u00a0<\/strong><\/em>De novo assembly of the mitochondrial genome of ~5000-year-old human from North Caucasus<\/li>\n<li>Prof.<strong><em>\u00a0Morozov A.V.<\/em><\/strong>\u00a0Evidence for extensive nucleosome crowding in yeast chromatin<\/li>\n<li>Chereji R.V., Kan T.-W., Guryev V.P., Morozov A.V.,\u00a0<em><strong>Moshkin Y.M.<\/strong><\/em>\u00a0Biophysical principles guiding nucleosome positioning in vivo<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><em><strong>Antonov I.V.<\/strong><\/em>, Marakhonov A.V., Baranova A., Skoblov M.Y. Prediction of antisense RNA-RNA interactions in animal cells<\/li>\n<li><em><strong>Babenko V.N.<\/strong><\/em>\u00a0Transposons vs genes: survival strategies?<\/li>\n<li><em><strong>Djordjevic M.<\/strong><\/em>\u00a0A biophysical approach to bacterial transcription start site prediction<\/li>\n<li><em><strong>Gunbin K.V.<\/strong><\/em>, Popadin K.Y. 5\u2019 and 3\u2019 breakpoints of mtDNA deletions show drastic differences in dinucleotide properties<\/li>\n<li><strong><em>Ivashchenko A.T.<\/em><\/strong>, Berillo O.A., Pyrkova A.Y., Niyazova R.E., Atambayeva S.A. The features of binding sites of miR-619-5p, miR-5095, miR-5096 and miR-5585-3p in the mRNAs of human genes<\/li>\n<li>Golyshev M.A.,<em><strong>\u00a0Korotkov E.V<\/strong><\/em>. Computer annotation of bacterial genes using phylogenetic profiles<\/li>\n<li>Krutinin G.G., Krutinina E.A., Kamzolova S.G.,\u00a0<em><strong>Osypov A.A.<\/strong><\/em>\u00a0Electrostatic properties of bacteriophage lambda genome and its elements: virus vs host<\/li>\n<li><em><strong>Mitra C.K.<\/strong><\/em>, Meena A.K. Association between microRNA and UTRs from human TLR genes<\/li>\n<li><em><strong>Oschepkov D.Y.<\/strong><\/em>, Levitsky V.G., Kulakovskiy I.V., Ershov N.I., Makeev V.J., Merkulova T.I.\u00a0 Experimentally verified transcription factor binding sites models applied for computational analysis of ChIP-Seq data<\/li>\n<li><strong><em>Ryasik A.A.<\/em><\/strong>, Grinevich A.A., Yakushevich L.V. Dynamics of nonlinear conformational excitations in functional regions of pttq18 plasmid<\/li>\n<li><strong><em>Subkhankulova T.<\/em><\/strong>, Naumenko F. Is the single cell ChIP-Seq technique possible?<\/li>\n<li>St. Laurent G., Shtokalo D., Tackett M.R., Nechkin S., Antonets D.,\u00a0<strong><em>Vyatkin Yu<\/em><\/strong>., Savva1 Y.A., Kapranov P., Lawrence C.E., and Reenan R.A. Whole genome analysis of A-to-I RNA editing using single molecule sequencing in Drosophila<\/li>\n<li><em><strong>Zharkov D.<\/strong><\/em>\u00a05-methylcytosine and DNA oxidation: at the crossroads of epigenetics, DNA damage, and DNA repair<\/li>\n<\/ol>\n<p><strong>Poster<\/strong><\/p>\n<ul>\n<li><em>Alybaeva A.Z., Niyazova R.Y., Ivashchenko\u00a0 A.T.\u00a0<\/em>Binding sites of miRNA with MYB genes&#8217; mRNA in B.taurus and B.mutus<\/li>\n<li><em>Astakhova T.V., Tsitovich I.I., Yakovlev V.V., Roytberg M.A.\u00a0<\/em>Intron lengths and phases: regularities and database<\/li>\n<li><em>Barducov N.V., Sipko T.P., Glazko V.I.\u00a0<\/em>Application of terminal Helitron fragments as high polymorphic markers of genome scanning in Ungulata<\/li>\n<li><em>Baulin E.F., Spirin S.A., Roytberg M.A.<\/em>\u00a0Analysis and classification of nonstandard RNA motifs<\/li>\n<li><em>Bogomolov A.G., Jetybayev I.E., Podkolodnyy N.L., Rubtsov N.B.\u00a0<\/em>Fluorescence in situ hybridization with microdissected DNA probes on chromosomes of species<\/li>\n<li><em>Demenkov P.S., Ivanisenko V.A.<\/em>\u00a0Assembling genomes and metagenomes using cluster architecture<\/li>\n<li><em>Drozdova P., Mironova L.<\/em>\u00a0Prionization of the Sfp1 protein in yeast does not mimic its inactivation at whole transcriptome level<\/li>\n<li><em>Erkenov T.A.<\/em>\u00a0Application of multiloci genome scanning for identification of the Karachay horse genetic structure<\/li>\n<li><em>Erokhin I.L.\u00a0<\/em>SINE-modeling of genome loop step<\/li>\n<li><em>Gruzdeva N.M., Nedoluzhko A.V., Shulga O.A., Prokhortchouk E.B., Skryabin K.G.\u00a0<\/em>Novel microRNAs prediction in non-model organisms<\/li>\n<li><em>Ignatieva E.V.\u00a0<\/em>Controlled vocabularies and information tables for the knowledge base on epigenetic control of human embryonic stem cells<\/li>\n<li><em>Ignatieva E.V., Levitsky V.G., Kolchanov N.A.\u00a0<\/em>Functional characteristics of human genes containing low level of promoter polymorphism revealed from the 1000 Genomes Project dataset<\/li>\n<li><em>Ivashchenko A.T., Berillo O.A., Pyrkova A.Y., Niyazova R.E.\u00a0<\/em>Features of interactions between miR-1273 family and mRNA of target genes<\/li>\n<li><em>Korotkova A.\u00a0<\/em>Functional analysis of the promoter region of the Xist gene in mouse (Mus musculus)<\/li>\n<li><em>Kulakova E.V., Bryzgalov L.O., Orlov Y.L., Li G., Ruan Y.\u00a0<\/em>Computer analysis of chromosome contacts revealed by sequencing<\/li>\n<li><em>Kulakova E.V., Podkolodnaya O.A., Serov O.L., Orlov Y.L.\u00a0<\/em>Computer data analysis of genome sequencing by technology ChIP-seq and Hi-C<\/li>\n<li><em>Levitsky V.G., Mironova V.V.\u00a0<\/em>The pipeline for composite regulatory elements prediction<\/li>\n<li><em>Moskalev A.A., Plyusnina E.N., Peregudova D.O., Shaposhnikov M.V., Snezhkina A., Kudryavtseva A.V., Baranova A.M.\u00a0<\/em>Transcriptomics analysis of Drosophila melanogaster aging<\/li>\n<li><em>Orazova S.B., Sagaydak A.I., Ivashchenko A.T.\u00a0<\/em>Interaction between miRNA and mRNA of MYB transcriptional factors family genes of maize<\/li>\n<li><em>Osypov A.A.<\/em>\u00a0DEPPDB a portal for electrostatic and other physical properties of genome DNA<\/li>\n<li><em>Osypov A.A.<\/em>\u00a0DNA phenotype and biophysical bioinformatics of transcription regulation in prokaryotes: the role of electrostatics as a natural selection factor<\/li>\n<li><em>Krutinina E.A., Krutinin G.G., Kamzolova S.G., Osypov A.A.\u00a0<\/em>Transcription factors and electrostatic and other physical properties of their binding sites<\/li>\n<li><em>Peregudova D.O., Plyusnina E.N., Shaposhnikov M.V., Kudryavtseva A.V., Snezhkina A.V., Moskalev A.A.<\/em>\u00a0Identification of Drosophila melanogaster genes as biosensors of chemical pollutants (formaldehyde, dioxin, toluene) and gamma-irradiation in low doses<\/li>\n<li><em>Ponomareva N.S., Romanov D.E., Pshenichny E.A., Shkurat T.P.<\/em>\u00a0Scan elements in the non-coding DNA<\/li>\n<li><em>Radchenko E.A., Tamazian G.S., Dobrynin P.V.\u00a0<\/em>Reference assisted chromosome assembly of 30 saccharomyces cerevisiae strains from saccharomyces genome database<\/li>\n<li><em>Rusinov I.S., Ershova A.S., Karyagina A. S., Spirin S. A., Alexeevski V.\u00a0<\/em>Restriction sites avoidance is trace of lost restriction modification systems<\/li>\n<li><em>Ryasik A.A., Temlyakova E. A., Sorokin A. A.\u00a0<\/em>Biological graph data base and its applications<\/li>\n<li><em>Safronova N.S., Orlov Y.L.<\/em>\u00a0Computer analysis of human SNP containing sites by methods of text complexity estimations<\/li>\n<li><em>Sergeev A.V., Temlyakova E.A., Sorokin A.A.\u00a0<\/em>Graph database for molecular biology: advantages of the graph representation of data<\/li>\n<li><em>Sergeeva E.M., Koltunova M.K., Afonnikov D.A., Vasiliev G.V., Salina E.A.<\/em>\u00a0The structural organization and evolution of 5S rDNA of wheat chromosome 5BS by data of partial sequencing<\/li>\n<li><em>Kondrakhin Yu., Valeev T., Sharipov R., Yevshin I. and Kolpakov F.<\/em>\u00a0Toolkit for ChIP-seq based comparative analysis of the PWM methods for prediction of transcription factor binding sites<\/li>\n<li><em>Sokolov V.S., Zuraev B.S., Lashin S.A., Matushkin Yu.G.\u00a0<\/em>EloE a web-application for estimation of gene translation elongation efficiency in various organisms<\/li>\n<li><em>Tan H., Hou X.<\/em>\u00a0SSRFace: an identification and search tool for genomic and transcriptomic SSR<\/li>\n<li><em>Temlyakova E.A., Sorokin A.A.\u00a0<\/em>Graph analysis of E.coli transcription regulation<\/li>\n<li><em>Vasiliev G.V., Gubanova N.V., Spitsina A.M., Safronova N.S., Orlov Y.L.\u00a0<\/em>Computer and experimental analysis of molecular mechanisms of gene expression regulation in brain tumor cells<\/li>\n<li><em>Vishnevsky O.V.\u00a0<\/em>Analysis of the degenerate motifs in regions of binding sites of transcription factors essential for embryonic stem cells maintenance<\/li>\n<li><em>Vishnevsky O.V., Kochetov A.V.\u00a0<\/em>Search for alternative translation starts in the genome of mycobacterium tuberculosis<\/li>\n<li><em>Gluschenko O., Sharipov R. N., Kondrakhin Yu.V., Volkova O. A.\u00a0\u00a0<\/em>The mRNA features important for translation initiation revealing using ribosome profiling data<\/li>\n<li><em>Vorozheykin P.S., Titov I.I.\u00a0<\/em>Control of the miRNA pathways by the secondary structure and its account in the prediction tools<\/li>\n<\/ul>\n<p><strong>PLANTS SYSTEMS BIOLOGY<\/strong><br \/>\n<strong>Oral<\/strong><\/p>\n<p><u>Keynote talk<\/u><\/p>\n<ol>\n<li><em><strong>Kapralov M.V.<\/strong><\/em>, Whitney S.M. Evolution of RuBisCO encoding genes in plants and its implications for RuBisCO engineering in crops<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><em><strong>Afonnikov D.A.<\/strong><\/em>, Genaev M.A., Komyshev E.G., Doroshkov A.V., Pshenichnikova T.A., Morozova E.V., Simonov A.V. Computer high-throughput approaches to wheat phenotyping<\/li>\n<li><em><strong>Doroshkov A.V.<\/strong><\/em>, Zubairova U.S., Genaev M.A., Nikolaev S.V., Pshenichnikova T.A., Afonnikov D.A. Analysis of bread wheat leaf pubescence formation and diversity using image analysis technique and mathematical modeling<\/li>\n<li><em><strong>Kanayama Y.<\/strong><\/em>, Ikeda H. Metabolome and transcriptome analyses of a tomato introgression line containing a Solanum pennellii chromosome segment<\/li>\n<li><em><strong>Karlov G.I.<\/strong><\/em>, Divashuk M.G., Alexandrov O.S., Razumova O.V., Khuat T.M.L., Kroupin P.Yu. Plant molecular cytogenetics and next-generation sequencing data analysis<\/li>\n<li><em><strong>Kazantsev F.V.<\/strong><\/em>, Chernova V.V., Doroshkov A.V. , Omelyanchuk N.A., Mironova V.V., Likhoshvai V.A. Self-organization mechanisms for auxin distribution in the root apical meristem<\/li>\n<li><em><strong>Pinsky I.V.<\/strong><\/em>, Ivashchenko A.T. miRNAs binding to mRNAs of rice MYB genes<\/li>\n<li><strong><em>Ponomarenko P.M.<\/em><\/strong>, Ponomarenko M.P. An empirical equilibrium equation of a gene response to auxin in plants allows to predict quantitatively the auxin response<\/li>\n<li>Sergeeva E.M., Timonova E.M., Bildanova L.L., Koltunova M.K., Nesterov M.A., Magni F., Frenkel Z., Dolezel J., Faris J., Sourdille P., Feuillet C.,\u00a0<em><strong>Salina E.A.\u00a0<\/strong><\/em>The progress in physical mapping of chromosome 5B of bread wheat Triticum aestivum<\/li>\n<li><em><strong>Sarsenbayev K.N.\u00a0<\/strong><\/em>\u00a0Proteomic information of spring wheat varieties differing in resistance to infection after Puccinia recondita inoculation<\/li>\n<\/ol>\n<p><strong>Posters<\/strong><\/p>\n<ul>\n<li><em>Dobrovolskaya O., Amagai Y., Pont C., Martinek P., Krasnikov A.A., Orlov Y.L., Salina E.A., Salse J., Watanabe N.\u00a0<\/em>Genetic dissection of the inflorescence branching trait in diploid, tetraploid and hexaploid wheats<\/li>\n<li><em>Ikeda H., Kanayama Y.<\/em>\u00a0Analysis of a tomato introgression line, IL8-3, with increased Brix content using the whole-genome sequence<\/li>\n<li><em>Komyshev E.G., Genaev M.A., Afonnikov D.A.\u00a0<\/em>SeedCounter &#8212; mobile and desktop application for high-throughput phenotyping seeds in wheat<\/li>\n<li><em>Lavrekha V.V., Omelyanchuk N.A., Mironova V.V.<\/em>\u00a0Modeling of cell dynamics in the root apical meristem with Dynamical Grammar<\/li>\n<li><em>Novoselova E.S., Mironova V.V., Kazantsev F.V., Omelyanchuk N.A, Likhoshvai V.A.\u00a0<\/em>Computation modeling of vascular patterning in plant roots<\/li>\n<li><em>Perfilyeva A.I.\u00a0\u00a0<\/em>The statistical analysis of level of an expression of a series of proteins of a plant of Arabidopsis thaliana in the conditions of stressful influence<\/li>\n<li><em>Zubairova U.S., Nikolaev S.V., Doroshkov A.V., Afonnikov D.A.\u00a0<\/em>A model of trichome spacing pattern formation on growing wheat leaf<\/li>\n<li><em>Zubairova U.S., Nikolaev S.V.<\/em>\u00a0A simple mechanical cell-based model for symplastic growth of linear leaf blade<\/li>\n<\/ul>\n<p><strong>PROTEOMICS, METABOLOMICS AND COMPUTATIONAL PHARMACOLOGY<\/strong><br \/>\n<strong>Oral<\/strong><br \/>\n<u>Keynote talk<\/u><\/p>\n<ol>\n<li><em><strong>Larina I.M.<\/strong><\/em>, Ivanisenko V.A., Nikolaev E.N.\u00a0 Proteomics extreme impacts as a tool for systems biology<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><strong><em>Aksianov E.A.<\/em><\/strong>, Alexeevsky A.V. Alignment of \u201cunalignable\u201d protein structures<\/li>\n<li><em><strong>Anashkina A.A.<\/strong><\/em>, Esipova N.G., Kuznetsov E.N., Tumanyan V.G. Native proteins and Decoys: subtle structure differences<\/li>\n<li>Andrianov A.M., Kashyn I.A.,\u00a0<em><strong>Tuzikov A.V.<\/strong><\/em>\u00a0Computational prediction of novel anti-HIV-1 agents based on potent and broad neutralizing antibody VRC01<\/li>\n<li><strong><em>Binder H.<\/em><\/strong>, Wirth H., Arakelyan A., Lembcke K., Tiys E.S., Ivanishenko V., Kolchanov N.A., Kononikhin A., Popov I., Nikolaev E.N., Pastushkova L., Larina I.M. A machine learning analysis of urine proteomics in space-flight simulations<\/li>\n<li><strong><em>Chekmarev S.F.<\/em><\/strong>\u00a0 Driving force for protein folding: the two-component potential<\/li>\n<li><strong><em>Chugunov A.O.<\/em><\/strong>, Volynsky P.E., Efremov R.G. High-performance computing provides insight into the innermost organization<\/li>\n<li><em><strong>Duzhak T.<\/strong><\/em>, Tsentalovich Y. Lens cataract: effects of crystallins modification<\/li>\n<li>Karpova M.A., Karpov D.A., Ivanov M.V., Zgoda V.G., Gorshkov M.V.,\u00a0<strong><em>Moshkovskii S.A.<\/em><\/strong>\u00a0Cancer cell line recognition by shotgun proteomics using cancer exome data<\/li>\n<li><strong><em>Medvedev K.E.<\/em><\/strong>, Afonnikov D.A. Computational investigation of high pressure and temperature influence<\/li>\n<li>Mescheryakova I.A., Demidova E.V., Demidov E.A., Goryachkovskaya T.N., Popik V.M., Semenov A.I., Kulipanov G.N., Kolchanov N.A.,\u00a0<em><strong>Peltek S.E.\u00a0<\/strong><\/em>Genomic proteimic profiling<\/li>\n<li><strong><em>Nyporko A.Y.<\/em><\/strong>\u00a0Features 8-oxo-dGTP behavior in active site of human DNA polymerase<\/li>\n<li><strong><em>Pastushkova L.H.<\/em><\/strong>, Kononihin A.S., Tiys E.S., Obraztsova O.A., Dobrohotov I.V., Kireev K.S., Ivanisenko V.A., Nikolaev E.N., Larina I. M. Identifying overrepresented biological processes in cosmonauts on the first day<\/li>\n<li><em><strong>Sherin P.S.<\/strong><\/em>, Zelentsova E.A., Sormacheva E.D., Duzhak T.G., Tsentalovich Yu.P. UVA-induced modifications of lens alpha-crystallin<\/li>\n<\/ol>\n<p><strong>Poster<\/strong><\/p>\n<ul>\n<li><em>Fomin E.S., N.A. Alemasov\u00a0<\/em>L-MOLKERN software allowing for polarization effects in free energy calculation<\/li>\n<li><em>Bragin A.O., Sokolov V.S., Demenkov P.S., Matushkin Yu.G., Ivanisenko V.A.\u00a0<\/em>Computer analysis of expression level of allergen-coding genes of pathogenic microorganisms<\/li>\n<li><em>Davidovich P., Aksenova V., Martin S.J.<\/em>\u00a0Molecular dynamics structure modeling of IL-36 cytokines<\/li>\n<li><em>Deeva A.A., Nemtseva E.V., Kratasyuk V.A.<\/em>\u00a0Spectral characterystics of tryptophan in water and Vibrio harveyi luciferase<\/li>\n<li><em>Gurkov A.N., Kondratyeva E.M., Bedulina D.S.\u00a0<\/em>\u00a0ImageJ addon for 2D electrophoresis gel analysis<\/li>\n<li><em>Igolkina A.A., Samsonova M.G.\u00a0<\/em>Method to predict the percentage of cell types in human blood<\/li>\n<li><em>Ivanisenko N.V., Tregubchak T.V., Saik O.V., Ivanisenko V.A. and Shchelkunov S.N.<\/em>\u00a0Molecular mechanisms of interaction of Tumor Necrosis Factor<\/li>\n<li><em>Ivanisenko T.V., Demenkov P.S., Ivanisenko N.V., Ivanisenko V.A.<\/em>\u00a0New versions of the PDBSite database and PDBSiteScan tool_ prediction of functional sites in the protein 3d structure<\/li>\n<li><em>Liu J., Kang X.\u00a0<\/em>Backbone encodings in protein stability predictions<\/li>\n<li><em>Nizhnikov A.A., Antonets K.S., Inge-Vechtomov S.G.\u00a0<\/em>SARP: an algorithm for annotation of the compositionally biased regions in protein sequences<\/li>\n<li><em>Orlov A.A., Osolodkin D.I., Palyulin V.A., Zefirov N.S.<\/em>\u00a0Analysis of the binding mode of antiviral peptides to the Flavivirus envelope protein E based on protein-protein docking<\/li>\n<li><em>Raevsky A.V., Samofalova D.A., \u041aarpov P.A., Blume Y.B.<\/em>\u00a0Identification of potential inhibitor of protein kinase D1 (PKD1) and 2 (PKD2)<\/li>\n<li><em>Tiys E.S., Demenkov P.S., Saik O.V., Popik O.V.,\u00a0 Ivanisenko V.A.<\/em>\u00a0Reconstruction of associative gene networks specific to target biological processes and phenotypic traits<\/li>\n<li><em>Yuldasheva G.A., Ilin A.I., Zhidomirov G.M.<\/em>\u00a0Enhancing anticancer activity of doxorubicin by molecular iodine complexes with bioactive organic ligands and lithium salts<\/li>\n<li><em>Zanegina O.N., Karyagina A.S., Alexeevski A.V., Spirin S.A.<\/em>\u00a0Contact-based approach to structural classification of protein-DNA complexes<\/li>\n<\/ul>\n<p><strong>SYSTEMS COMPUTATIONAL BIOLOGY<\/strong><br \/>\n<strong>Oral<\/strong><\/p>\n<p><u>Keynote talk<\/u><\/p>\n<ol>\n<li><em><strong>Binder M.<\/strong><\/em>, Modelling of the Hepatitis C Virus Life Cycle<\/li>\n<li><em><strong>Ratushny A.V.<\/strong><\/em>, Danziger S.A., Wurtmann E.J., Baliga N.S. and Aitchison J.D. Multiscale modeling as a framework for exploring molecular mechanisms of biological systems<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li>Akberdin I.R., Ermak T.V.,\u00a0<em><strong>Kazantsev F.V.,<\/strong><\/em>\u00a0Khlebodarova T. M. and Likhoshvai V.A. Kinetic modeling of pyrimidine biosynthesis is a first step to in silico bacterial cell<\/li>\n<li><strong><em>Akberdin I.R.<\/em><\/strong>, Ivanisenko N.V., Oschepkova E.A., Omelyanchuk N.A., Matushkin Yu.G., Afonnikov D.A. and Kolchanov N.A. Regulatory mechanisms for mESC self-renewal: kinetic and stochastic modeling<\/li>\n<li><strong><em>Djordjevic M.<\/em><\/strong>, Severinov K., and Djordjevic M. Modeling bacterial immune systems: CRISPR\/CAS regulation<\/li>\n<li><strong><em>Duk M.A.<\/em><\/strong>, Samsonov A.M., and Samsonova M.G. Mechanism of miRNA action defines the dynamical behavior of miRNA-mediated feed-forward loops<\/li>\n<li>Hubert F., Honor\u00e9 S., Petit M.,\u00a0<em><strong>Barlukova A.\u00a0<\/strong><\/em>Dynamic instabilities of microtubules<\/li>\n<li><em><strong>Ivanisenko N.<\/strong><\/em>, Mishchenko E., Akberdin I., Demenkov P., Kozlov K., Todorov D., Gursky V.V., Samsonova M.G., Samsonov A.M., Clausznitzer D., Kaderali L., Kolchanov N.A., and Ivanisenko V.A. Mathematical model for Subgenomic hepatitis C virus replication: impact of drug resistance<\/li>\n<li><strong><em>Kashina E.V.<\/em><\/strong>, Oshchepkov D.Y.,\u00a0 Oshchepkova E.A.,\u00a0 Shilov A.G., Antontseva E.V.,\u00a0 Furman D.P.,\u00a0 Mordvinov V.A. Dioxin-mediated regulation of genes involved in cytokines production by macrophages<\/li>\n<li><strong><em>Kozlov K.N.<\/em><\/strong>, Gursky V.V., Kulakovskiy I.V., Muzhichenko V.V. and Samsonova M.G. Sequence -based model of gap gene regulatory network<\/li>\n<li><em><strong>Kursanov A.<\/strong><\/em>, Solovyova O., Katsnelson L., Medvedev K., Vasilyeva A., Vikulova N., Markhasin V.S. Cardiac mechanics, calcium overload and arrhythmogenesis<\/li>\n<li>Narula J., Kuchina A., S\u00fcel G.M. and<em><strong>\u00a0Igoshin O.A.\u00a0<\/strong><\/em>Slowdown of cell growth acts as the signal triggering cellular differentiation<\/li>\n<li><em><strong>Popik O.V.<\/strong><\/em>, Kolchanov N.A., Ivanisenko V.A. Mathematical modeling of the interactions between molecular genetic systems<\/li>\n<li><strong><em>Ryzhkov P.A.<\/em><\/strong>, Ryzhkova N.S. Graph model of type I diabetes<\/li>\n<li><em><strong>Lashin S.A.<\/strong><\/em>, Matushkin Yu.G.\u00a0DEC: software tools for simulation evolution in diploid populations<\/li>\n<\/ol>\n<p><strong>Poster<\/strong><\/p>\n<ul>\n<li><em>Aksenova E.I., Voronina O.L., Kunda M.S., Semenov A.N., Zamyatnin A.A., Lunin V.G., Gintsburg A.L.\u00a0<\/em>Hidden reserves of used vaccine substrain<\/li>\n<li><em>Likhoshvai V.A., Khlebodarova T.M., Bazhan S.I., Gainova I.A., Chereshnev V.A., Bocharov G.A.<\/em>\u00a0Tat-Rev regulation of HIV-1 replication: mathematical model predicts the existence of oscillatory dynamics<\/li>\n<li><em>Ermak T.V., Akberdin I.R., Timonov V.S., Mischenko E.L., Oschepkova E.A., Perfilyeva O.A., Smirnova O.G., Khlebodarova T. M and Likhoshvai V.A.\u00a0<\/em>KiNET 1.0: a new web database on kinetics data and parameters for E. coli metabolic pathways<\/li>\n<li><em>Galimzyanov A.V.\u00a0<\/em>GTML format for gene nets data representation<\/li>\n<li><em>Ignatieva E.V.\u00a0<\/em>The knowledge base on molecular genetics mechanisms controlling human lipid metabolism<\/li>\n<li><em>Kononenko L.I.\u00a0<\/em>Direct and inverse problems for systems with small parameter in kinetics models<\/li>\n<li><em>Korla K.\u00a0<\/em>Kinetic simulation of mitochondrial shuttles<\/li>\n<li><em>Lashin S.A., Klimenko A.I., Mustafin Z.S., Chekantsev A.D., Zudin R.K., Matushkin Yu.G.<\/em>\u00a0Haploid Evolutionary Constructor 3D: a tool for simulation of spatially distributed prokaryotic communities<\/li>\n<li><em>Mikhaelis M., Chernyshev A.V., Yurkin M.A., Nekrasov V.M. and Maltsev V.P.\u00a0<\/em>Apoptotic nuclear volume decrease: analysis of confocal images and mathematical model<\/li>\n<li><em>Oschepkova E.A., Omelyanchuk N.A., Akberdin I.R., Ermak T., Afonnikov D.A.<\/em>\u00a0Database of quantitative characters of processes in embryonic stem cells<\/li>\n<li><em>Perfilyeva O.A.<\/em>, Likhoshvai V.A., Khlebodarova T.M. Mathematical modeling of peptidoglycan precursor biosynthesis in the cytoplasm of Esherichia coli cell<\/li>\n<li><em>Podkolodnaya O.A., Podkolodnaya N.N., Podkolodnyy N.L.\u00a0<\/em>The mammalian circadian clock: computer analysis of gene network<\/li>\n<li><em>Popik O.V., Arkova O.V., Rasskazov D.A., Saik O.V., Ponomarenko P.M., Arshinova T.V., Savinkova L.K, Ponomarenko M.P. and Kolchanov N.A.<\/em>\u00a0Annotations of SNPs in promoters of human oncogenes VEGFA, EGFR, ERBB2, IGF1R, VEGFR1(2) AND HGFR<\/li>\n<li><em>Popik O.V., Hofestaedt R., Ivanisenko V.A.\u00a0<\/em>Evaluation of pathways efficiency based on data on ppi and distribution of proteins over cellular localizations<\/li>\n<li><em>Ri M.T., W\u00f6lfl S., Zakhartsev M.\u00a0<\/em>Experimental data for testing the adequacy of existing mathematical models<\/li>\n<li><em>Ri M.T., Saik O.V., Khayrulin S.S.\u00a0<\/em>The mathematical model of Rob, MarR, MarA regulatory circuit of Escherichia coli gene network<\/li>\n<li><em>Ilin A., Islamov R., Kasenov S., Nurseitov D., Serovajsky S.\u00a0<\/em>\u00a0Mathematical modeling of lung infection and antibiotic resistance<\/li>\n<li><em>Shamanina M.\u00a0<\/em>Putative candidate genes transcriptionally upregulated both in acute and chronic phase of response<\/li>\n<li><em>Shlikht A.G., Kramorenko N.V.<\/em>\u00a0Integrated genome-oriented information system for monitoring and control of biological systems<\/li>\n<li><em>Spitsina A.M., Efimov V.M., Babenko V.N., Orlov Y.L.\u00a0<\/em>Computer analysis of human gene expression data using BioGPS database of microarray Affymetrix U133<\/li>\n<li><em>Stepanenko I.L., Ivanisenko V.A.<\/em>\u00a0Logical modelling of Nanog-depended transcriptional gene network of embyonic carcinoma stem cells<\/li>\n<li><em>Yuldasheva G.A., Ilin A.I., Zhidomirov G.M.<\/em>\u00a0Lithium halides enhance the anticancer activity of cisplatin<\/li>\n<li><em>Zhabereva A.S., Gainullin M.R., Ivanchenko M.V., Kel A.E.\u00a0<\/em>Global mapping of protein ubiquitylation within TNF-alpha signaling pathway using geneXplain platform<\/li>\n<\/ul>\n<p><strong>ISHG-2014<br \/>\nSYMPOSIUM \u201cHUMAN GENETICS\u201d<\/strong><\/p>\n<p><strong>MEDICAL GENETICS<\/strong><br \/>\n<strong>Oral<\/strong><\/p>\n<p><u>Keynote talks<\/u><\/p>\n<ol>\n<li><em><strong>Polyakov A.<\/strong><\/em>\u00a0To be announced<\/li>\n<li><em><strong>Maksimov V.\u00a0<\/strong><\/em>Personalized genomic medicine: today and prospects<\/li>\n<li><em><strong>Khusnutdinova E.<\/strong><\/em>\u00a0Diversity of mitochondrial DNA haplogroup among the peoples of Eastern Europe<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><em><strong>Bragina E.<\/strong><\/em>, Freidin M., Tiys E., Koneva L., Ivanisenko V., Puzyrev V. Genome-phenome relationships of polar immunological diseases<\/li>\n<li><em><strong>Bryzgalov L.<\/strong><\/em>, Brusentsov I., Merkulova T. A novel approach to functional SNP discovery from genome-wide data reveals new variants, associated with colon cancer risk<\/li>\n<li><strong><em>Golubenko M.<\/em><\/strong>, Salakhov R.,\u00a0 Makeeva O., Kashtalap V., Barbarash O., Puzyrev V. Analysis of mitochondrial DNA polymorphism in patients with acute coronary syndrome<\/li>\n<li><em><strong>Goncharova I.<\/strong><\/em>, Makeeva O., Tarasenko N., Markov A., Buikin S., Puzyrev V. Molecular genetic peculiarities of fibrogenesis in different pathological traits in humans<\/li>\n<li><em><strong>Goncharova R.<\/strong><\/em>, Nikitchenko N., Ramaniuk V., Savina N., Kuzhir T. XPD, XRCC1, OGG1 and ERCC6 polymorphisms and human lifespan<\/li>\n<li><em><strong>Gusar V.A.<\/strong><\/em>\u00a0Evaluation of differential miRNA expression after permanent focal ischemia in rat brain using real-time qRT-PCR and NGS<\/li>\n<li><em><strong>Kharkov V.N.<\/strong><\/em>, Radzhabov M.O. Stepanov V.A. Gene pool of the native populations of Dagestan: territorial subdivision and correlation with linguistic classification from the data of Y-chromosome markers<\/li>\n<li><em><strong>Lebedev I.N.<\/strong><\/em>, Kashevarova A.A., Skryabin N.A. Genome architecture and chromosomal diseases<\/li>\n<li><em><strong>Lenskiy S.V.<\/strong><\/em>, Lenskaya Y. Relationships between human gene set and set of gene disorders<\/li>\n<li><em><strong>Nazarenko M.<\/strong><\/em>, Markov A., Sleptcov A., Lebedev I., Skryabin N., Kashevarova A., Frolov A., Barbarash O., Puzyrev V. Genome-wide profiling of DNA copy number and methylation in atherosclerosis<\/li>\n<li>Ponomarenko M.,\u00a0<em><strong>Arkova O.<\/strong><\/em>, Saik O., Arshinova T., Ponomarenko P., Rasskazov D., Genaev M., Komyshev E.G, Savinkova L., Kolchanov N.A. Annotations in silico of 388 SNPs of the core-promoters of 68 human feeding behavior genes<\/li>\n<li><em><strong>Posukh O.<\/strong><\/em>, \u0421hurbanov A., Karafet T., Bondar A., Morozov I., Mikhalskaya V., Zytsar M. Whole exome sequencing in Altaian families (the Altai Republic, Southern Siberia) with congenital hearing loss<\/li>\n<li><em><strong>Sharapov S.<\/strong><\/em>, Tsepilov Y., Ried J., Strauch K., Gieger C., Aulchenko Y. Genome-wide environmental sensitivity analysis of human metabolomics data<\/li>\n<li><em><strong>Skryabin N.A.<\/strong><\/em>, Lebedev I.N. Somatic genome variability and morphological heterogeneity of breast cancer<\/li>\n<li><em><strong>Timofeeva A.<\/strong><\/em>, Gusar V., Shram S., Zhanin I., Snezhkina A., Kudryavtseva A., Serenko A.A., Pinelis V., and Bobrov M. Comparative NGS analysis of miRNA expression in rat brain and blood plasma after transient focal ischemia<\/li>\n<li><em><strong>Trifonova E.<\/strong><\/em>, Ershov N., Serebrova V., Stepanov V. Identification of new genetic markers for preeclampsia using an integrated approach<\/li>\n<li><em><strong>Yudin N.<\/strong><\/em>, Mishakova T., Maksimov V., Gafarov V., Malyutina2 S., Voevoda M. Association of the dopamine receptor D4 (DRD4) gene polymorphism with cardiovascular disease risk factors<\/li>\n<\/ol>\n<p><strong>Poster<\/strong><\/p>\n<ul>\n<li><em>Astrakova K.S., Shakhtshneider E.V., Ragino Y.I,\u00a0 Chernjavski A.M., Kashtanova E.V.,\u00a0 Polonskaya Y.V., Voevoda M.I.\u00a0<\/em>Cholesterol ester transfer protein gene polymorphism in men with coronary atherosclerosis.<\/li>\n<li><em>Babushkina N.P., Garaeva A.F., Bragina E.Yu., Nogovitsina A.N., Rudko A.A.<\/em>\u00a0Studying of genes regulating immune response at pulmonary tuberculosis in Yakuts_<\/li>\n<li><em>Eslami G., Hajimohammadi B., Gholamrezaei M., Khalatbary S., Zohortabar A., Ardian M.\u00a0<\/em>Practical approach for DNA extraction of Linguatula serrata nymphs: an analytical method<\/li>\n<li><em>Garaeva A.F., Rudko A.A., Bragina E.Yu., Babushkina N.P., Freidin M.B.<\/em>\u00a0Study of genes causing atypical\u00a0 familial mycobateriosis in Tomsk tuberculosis patients<\/li>\n<li><em>Ibeh B.O.\u00a0<\/em>CCR5 and CXCR4\u00a0 coreceptor profile in resistance\u00a0 HIV exposed but seronegative individuals of Nigerian origin<\/li>\n<li><em>Ivanoshchuk D.E., Konovalova N.A., Bychkov I.Y., Konovalova O.S., Eremina A.V., Ponomareva M.N., Voevoda M.I., Romaschenko A.G.\u00a0<\/em>Possible association between the TRPV1 gene rs222747 polymorphism and primary open angle glaucoma in western Siberia patients<\/li>\n<li><em>Ivanova A.A., Maksimov V.N., Orlov P.S., Ivanoshchuk D.E., Savchenko S.V.,\u00a0 Voevoda M.I.\u00a0<\/em>Association of the genetic markers for myocardial infarction with sudden cardiac death in a Russian population<\/li>\n<li><em>Koneva L.A, Freidin M. B., Bragina E.Yu., Puzyrev V.P, McEachin R.C\u00a0<\/em>Modeling genetic influences on two diseases that are unusually rare in co-occurrence: bronchial asthma and pulmonary tuberculosis<\/li>\n<li><em>Korbolina E.E., Ershov N.I., Bryzgalov L.O., Kozhevnikova O.S., Kolosova N.G.\u00a0<\/em>Congenic strains for studying accelerated senescence in OXYS rats: retinal transcriptome and candidate gene analysis by RNASeq<\/li>\n<li><em>Podkolodnyy N.L., Afonnikov D.A., Vaskin Yu.Yu., Bryzgalov L.O., Ivanisenko V.A., Demenkov P.S., Ponomarenko M.P., Rasskazov D.A., Gunbin K.V., Protsyuk I., Shutov I., Leontyev P., Fursov M.Yu., Bondar N.P., Antontseva E.V., Merkulova T.I., Kolchanov N.A.\u00a0<\/em>The SNP-MED system for personal medicine_ analyze the effect SNP to the function of genes associated with diseases<\/li>\n<li><em>Sergeev R.S., Kavaliou I.S., Tuzikov A.V.\u00a0<\/em>Mutation analysis of Mycobacterium Tuberculosis genome and association with drug resistance<\/li>\n<li><em>Vechkapova S.O.<\/em>\u00a0Intermolecular interactions in the ionotropic glutamate receptor supramolecular complexes in the processes of neuronal synaptic plasticity<\/li>\n<li><em>Voropaeva E.N., Pospelova T.I., Voevoda M.I., Maximov V.N.<\/em>\u00a0Polymorphism rs1625895 gene tp53 and effectiveness of treatment of DLBCL<\/li>\n<\/ul>\n<p><strong>TRANSLATIONAL MEDICINE<\/strong><br \/>\n<strong>Oral<\/strong><\/p>\n<p><u>Keynote talks<\/u><\/p>\n<ol>\n<li><em><strong>Iwakura Y.\u00a0<\/strong><\/em>The role of DECTIN-1 and DECTIN-2 in the host defense against fungi and in intestinal immunity<\/li>\n<li><em><strong>Brown S.\u00a0<\/strong><\/em>Mechanisms of circadian plasticity<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><em><strong>Baranova A.<\/strong><\/em>, Wang L., Cui T., Veytsman B., Bruskin S. Attractor based classifiers for prediction of post-treatment survival in cancer and detection of non-malignant diseases<\/li>\n<li><em><strong>Erokhin I.L.\u00a0<\/strong><\/em>Oncogenesis model based on the genome structure of multicellular organisms<\/li>\n<li><em><strong>Grinkevich L.N.\u00a0<\/strong><\/em>Epigenetic mechanisms of memory formation: the role of the histone acetylation and methylation in aversive learning<\/li>\n<li><em><strong>Kozhevnikova E.\u00a0<\/strong><\/em>Gut mucosal proteoglycan Mucin2 compromises animal sexual behavior<\/li>\n<li><em><strong>Medvedev S.P.\u00a0<\/strong><\/em>The use of new genome engineering technologies for creation of isogenic amyotrophic lateral sclerosis cell model<\/li>\n<li><em><strong>Menshanov P.N.<\/strong><\/em>, Akulov A.E., Dygalo N.N. Hippocampal neurochemical profile in neonatal rats: effects of anesthesia<\/li>\n<li><em><strong>Nemudryi A.A.<\/strong><\/em>\u00a0 Rescue of Brattleboro rat strain mutant phenotype using TALEN and CRISPR\/Cas9 systems<\/li>\n<li><em><strong>Pakharukova M.Y.<\/strong><\/em>, Ershov N.I., Pirozhkova D.S., Vavilin V.A., Zadesenets K.S., Duzhak T.G., Mordvinov V.A. Molecular mechanisms of metabolism, excretion and drug tolerance in human liver fluke Opisthorchis felineus<\/li>\n<li><strong><em>Pozhilenkova E.<\/em><\/strong>\u00a0Development of cellular models for translational research in neuropharmacology<\/li>\n<li><em><strong>Redina O.E.<\/strong><\/em>, Smolenskaya S.E., Abramova T.O., Ivanova L.N., Markel A.L. Genetic dissection of inherited hypertensive state in ISIAH rats using kidney gene-expression and genome mapping<\/li>\n<li><em><strong>Salmina A.B.<\/strong><\/em>, Malinovskaya N.A., Lopatina O.L., Khomleva Y.K. Molecular markers and targets for diagnostics and treatment of neurodegeneration and neurodevelopmental disorders<\/li>\n<li><em><strong>Stefanova N.A.<\/strong><\/em>, Muraleva N.A., Strunov A.A., Kiseleva E.V., Kolosova N.G. The senescence-accelerated OXYS rats as a model of Alzheimer disease<\/li>\n<li><strong><em>Telegina D.V.<\/em><\/strong>, Kozhevnikova O.S., Baiborodin S.I., Kolosova N.G. Alterations of rat retinal pigment epithelium with age and AMD-like retinopathy<\/li>\n<li><em><strong>Veytsman B.<\/strong><\/em>, Cui T., Wang L., Baranova A. Systemic shifts in micro RNA landscape as a diagnostic and prediction tool<\/li>\n<\/ol>\n<p><strong>Posters<\/strong><\/p>\n<ul>\n<li><em>Avetisyan A.V., Simonyan R.A., Aleksandrova I.Ju, Samokhin A.N., Bobkova N.V.\u00a0<\/em>Mitochondrial disfunctions in animal model of sporadic Alzheimer&#8217;s disease<\/li>\n<li><em>Astrakova K.S. &#8212;\u00a0<\/em>CHOLESTEROL ESTER TRANSFER PROTEIN GENE POLYMORPHISM IN MEN WITH CORONARY ATHEROSCLEROSIS<\/li>\n<li><em>Bondar N.P., Bryzgalov L.O., Ershov N.I., Matveeva M.Yu.\u00a0<\/em>The use of 3D-chromatin structure data to predict novel genes associated with the development of depression<\/li>\n<li><em>A.G. Galyamina, I.L. Kovalenko, N. N.\u00a0<\/em>Kudryavtseva Relationship between anxiety and depression in the chronic social defeat stress model: pharmacological research<\/li>\n<li><em>Ignatieva E.V.\u00a0<\/em>The compellation of human genes controlling feeding behavior or associated with body mass index and its functional and genomic characteristics<\/li>\n<li><em>Kovalenko I.L., Galyamina A.G., Smagin D.A., Michurina T.V., Enikolopov G., Kudryavtseva N.N.<\/em>\u00a0Implications of hostile environment and social instability in adolescent mice<\/li>\n<li><em>Kozhevnikova O.S., Korbolina E.E., Ershov N.I., Kolosova N.G.\u00a0<\/em>Aging of rat retina: transcriptome study<\/li>\n<li><em>Medvedeva I.V., Spitsina A.M., Vishnevsky O.V., Safronova N.S., Efimov V.M., Orlov Y.L.\u00a0<\/em>Computer analysis of human gene expression data in brain using microarrays<\/li>\n<li><em>Muraleva N., Kozhevnikova O., Korbolina E., Fursova A., Kolosova N.\u00a0<\/em>Estimation of impact of alpha-crystallin\u2019s alterations on the development of AMD-like retinopathy in OXYS rats<\/li>\n<li><em>Perepechaeva M.L., Kolosova N.G., Grishanova A.Yu<\/em>. AhR-dependent genes CYP1B1 and CYP2J3 are involve in cardiovascular pathology of senescence-accelerated OXYS rats<\/li>\n<li><em>Rudnitskaya E.A., Maksimova K.Y., Stefanova N.A.<\/em>\u00a0Melatonin in prevention of Alzheimer\u2019s disease-like pathology in OXYS rats<\/li>\n<li><em>Salyakina D., Tsinoremas N.F.\u00a0<\/em>Viral expression associated with gastrointestinal adenocarcinomas in TCGA high-throughput sequencing data<\/li>\n<li><em>Shvarev Y.N., Demenkov P.S., Balakireva O.M., Ivanisenko V.A., Kolchanov N.A.\u00a0<\/em>Can opioid and substance p system interaction antogonize morphine-induced respiratory depression?<\/li>\n<li><em>Smagin D.A., Kudryavtseva N.N., Enikolopov G.N.<\/em>\u00a0Activation of hippocampal cell proliferation and decrease of c-fos expression in the amygdala under positive fighting experience in male mice<\/li>\n<li><em>Vitovtov A.O., Muraleva N.A., Stefanova N.A., Kolosova N.G.\u00a0<\/em>Conservative mTOR signaling pathway as a target for prophylaxis of accelerated brain aging<\/li>\n<\/ul>\n<p><strong>MM-HPC-BBB-2014<br \/>\nINTERANTIONAL CONFERENCE MATHEMATICAL MODELING AND HIGH PERFORMANCE COMPUTING IN BIOINFORMATICS,<br \/>\nBIOMEDICINE AND BIOTECHNOLOGY<\/strong><\/p>\n<p><strong>MATHEMATICAL MODELING IN BIOMEDICINE AND HIGH-PERFORMANCE COMPUTING IN BIOINFORMATICS<\/strong><br \/>\n<strong>Oral<\/strong><\/p>\n<p><u>Keynote talk<\/u><\/p>\n<ol>\n<li><em><strong>Chupakhin A.P.<\/strong><\/em>, Cherevko A., Khe A., Chebotnikov A., Krivoshapkin A., Orlov K., Panarin V. Comprehensive study of hemodynamics of cerebral vessels in the presence of pathologies<\/li>\n<li><em><strong>Asmanova N.<\/strong><\/em>, Koloskov G., Ilin A.I. On the application of excretion data as a criteria of choice between multiple solutions of inverse problem in pharmacokinetics<\/li>\n<li>Ayupova N.B.,\u00a0<strong><em>Golubyatnikov V.P.<\/em><\/strong>\u00a0On geometry of phase portraits of some low-dimensional gene network models<\/li>\n<li>Akinshin A.A., Bukharina T.A., Furman D.P.,\u00a0<em><strong>Golubyatnikov V.P.<\/strong><\/em>\u00a0Modeling of two-cells\u00a0 complex\u00a0 in morphogenesis of\u00a0 D. melanogaster\u00a0 mechanoreceptors<\/li>\n<li>Mikhailenko B.G., Glinskiy B.M.,\u00a0<strong><em>Kuchin N.V.<\/em><\/strong>, Chernykh I.G. Siberian supercomputer center as a service for bioinformatics<\/li>\n<li>Ilyin A.I.,\u00a0<strong><em>Kabanikhin S.I.<\/em><\/strong>, Krivorotko O.I., Voronov D.A. Inverse problems for differential equations of pharmacokinetics and immunology<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><em><strong>Afanasyev I.V.<\/strong><\/em>\u00a0Application of cellular automata for investigation of pollution influence on Macrohectopus and Comephorus population in the lake Baikal<\/li>\n<li><strong><em>Bedelbayev A.A.<\/em><\/strong>\u00a0Computer mathematical and biochemical modeling and simulation of the life processes in human organs<\/li>\n<li>Cherevko A.A., Chupakhin A.P., Khe A.K., Vorontsova E.A.,<em><strong>\u00a0Fedorova Y.A.<\/strong><\/em>, Krivoshapkin A.L., Seleznev P.A. Unsteady hemodynamic simulation of cerebral aneurysms\u00a0 stenting<\/li>\n<li><em><strong>Chernykh I.G.<\/strong><\/em>, Kabanikhin S.I., Voronov D.A. CHEMPAK software package: numerical modeling of direct and inverse pharmacokinetics problems<\/li>\n<li><em><strong>Mikhailova A.V.<\/strong><\/em>, Cherevko A.A., Chupakhin A.P., Krivoshapkin A.L., Orlov K.Y. Identification of based on experimental clinical data hemodynamic model<\/li>\n<li><em><strong>Danilov A. A.<\/strong><\/em>, Kramarenko V. K., Salamatova V. Yu., Yurova A. S. High resolution computational models for bioelectric impedance analysis<\/li>\n<li><em><strong>Dobroserdova T.K.<\/strong><\/em>\u00a0Numerical simulation of blood flow in the vascular network with pathologies or implants<\/li>\n<li><em><strong>Doronicheva A.V.\u00a0<\/strong><\/em>\u00a0Canny algorithm in biomedical images analysis<\/li>\n<li><em><strong>Gamilov T.M.<\/strong><\/em>, Simakov S.S. 1D Modelling of different time regimes of enhanced external counterpulsation<\/li>\n<li>Ilyin A.I., Kabanikhin S.I.,\u00a0<em><strong>Krivorotko O.I.<\/strong><\/em>\u00a0The identification and refinement of parameters of mathematical models in immunology<\/li>\n<li><em><strong>Ivanov Y.A.<\/strong><\/em>, Pryamonosov R. Patient specific reconstruction of vascular network for hemodynamic modeling<\/li>\n<li><em><strong>Karaca\u00f6ren B.<\/strong><\/em>\u00a0Dynamic association mapping based on random walk model using simulated QTLMAS data set<\/li>\n<li><em><strong>Kazantsev F.V.<\/strong><\/em>, Akberdin I.R., Podkolodnyy N.L., Likhoshvai V.A. Gene networks modeling_ specification language<\/li>\n<li><em><strong>Kel&#8217;manov A.\u00a0<\/strong><\/em>On some analysis, recognition and classification problems of biometrical sequences in a connection with combinatorial optimization problems<\/li>\n<li><em><strong>Koloskov G.<\/strong><\/em>, Asmanova N., Ilin A.I. Application of a biexponential form of two-compartment pharmacokinetic models<\/li>\n<li><em><strong>Konokhova A.I.,<\/strong><\/em>\u00a0Gilev K.V., Strokotov D.I., Yurkin M.A., Maltsev V.P. The solution of the inverse light-scattering problem for precise morphological characterization of milk fat globules<\/li>\n<li><em><strong>Kramarenko V.K.<\/strong><\/em>\u00a0User interfaces for mathematical models, based on human anatomy<\/li>\n<li><em><strong>Krasnobaeva L.A.<\/strong><\/em>, Yakushevich L.V. Rotational dynamics of bases in the gene coding interferon alpha 17 (ifna17)<\/li>\n<li><em><strong>Lenskiy S.V.,<\/strong><\/em>\u00a0Lenskaya T.I. Power law for rank distribution of gene density in human genome projects<\/li>\n<li><em><strong>Levichev A.<\/strong><\/em>, Palyanov A. On a modification of the theoretical basis of the Penrose-Hameroff model of consciousness<\/li>\n<li><em><strong>Medvedev A.Ye<\/strong><\/em>. Equation of state of blood flows in small vessels<\/li>\n<li><strong><em>Moskalensky A.E.<\/em><\/strong>, Strokotov D.I., Yurkin M.A. and Maltsev V.P. Characterization of blood platelets solving the inverse light-scattering problem with pre-computed interpolating set<\/li>\n<li>Mustafin Z.S.,<em><strong>\u00a0Lashin S.A.<\/strong><\/em>\u00a0High perfomance computing computing simulation of evolutionary processes in bacterial communities<\/li>\n<li><em><strong>Nikitina N.N.<\/strong><\/em>, Ivashko E.E., Gupta Y., Ludwig R., M\u00f6ller S. BOINC-based desktop grid infrastructure for virtual drug screening<\/li>\n<li><em><strong>Petunin D<\/strong><\/em>., Intel\u00ae Cilk\u2122 Plus \u2013 data parallelism and vectorization in \u0421\/C++ programs<\/li>\n<li><em><strong>Polshchitsin A.A.<\/strong><\/em>, Nekrasov V.M., Chernyshev A.V., and Maltsev V.P. Solution of inverse immunoagglutination kinetics problem for patchy particles with a small number of binding sites<\/li>\n<li><em><strong>Protsyuk I.V<\/strong><\/em>., Grekhov G.A., Tiunov A.V., Fursov M.Y. Shared bioinformatics database within Unipro UGENE<\/li>\n<li><strong><em>Pyrkova A.Yu.<\/em><\/strong>, Ivashchenko A.T., Berillo O.A. Modelling of the problem of multiple alignment of the nucleotide sequences and dendrogram construction<\/li>\n<li><em><strong>Salamatova V.Yu.<\/strong><\/em>\u00a0Modelling of soft tissues deformation. Alternative approaches<\/li>\n<li><em><strong>Shishlenin M.A.\u00a0<\/strong><\/em>Continuation of the acoustic field in tomography<\/li>\n<li>Ilyin A.I. , Kabanikhin S.I.,<em><strong>\u00a0Voronov D.A.<\/strong><\/em>\u00a0Numerical solutions of inverse problem of pharmacokinetics. Identifiability of compartmental models<\/li>\n<li>Danilov A.A.,<em><strong>\u00a0Yurova A.S<\/strong><\/em>. Patient specific 3D models_ some generation techniques<\/li>\n<li>Troeglazova T.S., Baishibaev D.Ja.,\u00a0<em><strong>Penenko A.V.,<\/strong><\/em>\u00a0 Nikolaev S.V., Zubairova U. On a parallel algorithm for morphogene diffusion-reaction processes simulation on a 2D cell ensemble<\/li>\n<li><em><strong>Vitvitsky A.A.<\/strong><\/em>\u00a0Computer simulation of self-organization in the bacterial MinCDE syste<\/li>\n<\/ol>\n<p><strong>Poster<\/strong><\/p>\n<ul>\n<li><em>Akinshin A.A., Bukharina T.A., Furman D.P., Golubyatnikov V.P.<\/em>\u00a0An extended model of\u00a0 D. melanogaster macrochaete morphogenesis gene network<\/li>\n<li><em>Barlukova A., Honor\u00e9 S., Hubert F., Petit M.\u00a0<\/em>\u00a0Dynamic instabilities of microtubules<\/li>\n<li><em>Bukharin K.V., Lavryushev Ya.S., Lashin S.A.<\/em>\u00a0Social interactions in communities of conformists and non-conformists a cellular automaton model<\/li>\n<li><em>Cherevko A.A., Chupakhin A.P., Yanchenko \u0410.\u0410., Krivoshapkin A.L., Orlov K.U.<\/em>\u00a0Unsteady hemodynamic simulation of cerebral aneurysms stenting<\/li>\n<li><em>Fomin E.S.\u00a0<\/em>Reconstruction cyclic sequences from their circular distances multiset<\/li>\n<li><em>Kiselev I.N., Kolpakov F.A.<\/em>\u00a0BioUML: Plugin for population-based modeling<\/li>\n<li><em>Kogai V.V.,\u00a0 Fadeev S.I.,\u00a0 Khlebodarova T.M., Likhoshvai V.A.<\/em>\u00a0Complex dynamics in systems of alternative mRNA splicing: a mathematical model<\/li>\n<li><em>Maltseva S.V., Akulov A.E., Derevtsov E.Yu., Cherevko A.A., Chupakhin A.P., Khe A.K.\u00a0<\/em>Reconstrucrion of the mouse brain vascular net according to the data of high-field MRI-scanner<\/li>\n<li><em>Mikhaylova A.V., Cherevko A.A., Chupahin A.P., Krivoshapkin A.L., K.U. Orlov\u00a0<\/em>Construction of the hemodynamic model based on clinical data:\u00a0 inverse problem<\/li>\n<li><em>Nikolaev S.V., Golushko S.K.\u00a0<\/em>A structural mechanics model for atomic force microscopy-based indentation test of epidermal plant cells<\/li>\n<li><em>Nizolenko L.Ph., Bachinsky A.G.<\/em>\u00a0A Universal model of the epidemics caused by special pathogens: a tool for epidemiologist<\/li>\n<li><em>Palyanov A., Khayrulin S.\u00a0<\/em>Sibernetic: novel approach to realistic modeling of invertebrates biomechanics<\/li>\n<li><em>Pyrkova A.Yu., Ivashchenko A.T., Berillo O.A.\u00a0<\/em>Parallelization of algorithm of prediction of miRNA binding sites in mRNA on the cluster computing platform<\/li>\n<li><em>Shitova M.V., Khokhlov Y.N., Nikiforov A.I., Sherbakov D.Y., Zhivotovsky L.A.\u00a0<\/em>Microsatellite variation to compare migration scenarios and demographic processes in populations chum salmon northern range<\/li>\n<li><em>Sviridova N.V., Vlasenko V.D.<\/em>\u00a0Individual modelling of hemodynamic processes in cardiovascular system based on peripheral arterial pulsation<\/li>\n<\/ul>\n<p><strong>TEXT-MINING AND INTELLIGENT ANALYSIS OF KNOWLEDGE IN DATABASES<\/strong><br \/>\n<strong>Oral<\/strong><\/p>\n<p><u>Keynote talks<\/u><\/p>\n<ol>\n<li><em><strong>King R.\u00a0<\/strong><\/em>To be announced<\/li>\n<li><em><strong>Soldatova L.\u00a0<\/strong><\/em>To be announced<\/li>\n<\/ol>\n<p><u>Oral presentations<\/u><\/p>\n<ol>\n<li><em><strong>Antonets D.V.<\/strong><\/em>, Grudin D.S. Using novel Generic String kernel to build pan-specific MHC class I peptide binding prediction tool<\/li>\n<li><em><strong>Berikov V.B.\u00a0<\/strong><\/em>Centroid-based ensemble of k-means for big data clustering<\/li>\n<li><em><strong>Gilev K.V.<\/strong><\/em>, Yurkin M.A., Chernyshev A.V., Maltsev V.P. Solution of the inverse light-scattering problem for characterization of red blood cells<\/li>\n<li><em><strong>Hofestaedt R.M.<\/strong><\/em>\u00a0Computation of drug interactions and side effects<\/li>\n<li><em><strong>Ivanisenko V.A.<\/strong><\/em>, Saik O.V., Tiys E.S., Ivanisenko T.V., Demenkov P.S. ANDSystem: associative network discovery system for automated literature mining in the area of biology<\/li>\n<li>Bazaikin Ya.V., Chupakhin A. P., Cherevko A.A.,\u00a0<em><strong>Khe A.K.<\/strong><\/em>\u00a0Application of the methods of persistent homology to clinical data analysis<\/li>\n<li><em><strong>Titov I.I<\/strong><\/em>., Blinov A.A., Rudnichenko K.A., Krutov P.V., Kazantsev A.L., Kulikov A.I. NetInference: the computer tools for analysis and visualization of networks structure, dynamics and evolution<\/li>\n<\/ol>\n<p><strong>Poster<\/strong><\/p>\n<ul>\n<li><em>Kolosov M.S., Brovchenko P.P.<\/em>\u00a0Inferring hypotheses on protein-protein interactions during experimental treatment<\/li>\n<li><em>Martynovich V.V., Vityaev E.E.\u00a0<\/em>Probabilistic formal concepts with negation<\/li>\n<li><em>Maslov P.P., Berikov V.B.<\/em>\u00a0Application of Bayesian methods to the problem of classification of natural language texts<\/li>\n<li><em>Medvedev A.N.\u00a0<\/em>\u00a0Community structure of web-graphs of academic institutions<\/li>\n<li><em>Polyakova G.L.<\/em>\u00a0Logical-and-probability simulation model of data analysis<\/li>\n<li><em>Polyakova G.L.<\/em>\u00a0Logical-and-probability simulation model of influence of the climatic factors<\/li>\n<li><em>Romanov D.<\/em>\u00a0Dotolog &#8212; dot plot analyzation tool<\/li>\n<li><em>Saik O.V., Demenkov P.S., Ivanisenko V.A.\u00a0<\/em>Database of frame models of genetic regulation of the metabolic processes associated with diseases<\/li>\n<li><em>Sukhotin A.M.\u00a0<\/em>Methods of the intellectual analysis of data in natural sciences and alternative analysis<\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>\u0423\u0432\u0430\u0436\u0430\u0435\u043c\u044b\u0435 \u043a\u043e\u043b\u043b\u0435\u0433\u0438! \u041f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0430 \u0443\u0441\u0442\u043d\u044b\u0445 \u0438 \u043f\u043e\u0441\u0442\u0435\u0440\u043d\u044b\u0445 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 (\u0441\u043f\u0438\u0441\u043e\u043a \u043f\u0440\u0438\u043d\u044f\u0442\u044b\u0445 \u0442\u0435\u0437\u0438\u0441\u043e\u0432). \u0420\u0430\u0431\u043e\u0447\u0438\u0439 \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f. \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u044b \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u043a\u0438. \u0414\u0430\u0442\u044b \u0438 \u0432\u0440\u0435\u043c\u044f \u0443\u0441\u0442\u043d\u044b\u0445 \u0432\u044b\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439 \u0431\u0443\u0434\u0443\u0442 \u0443\u0442\u043e\u0447\u043d\u0435\u043d\u044b \u043f\u043e\u0437\u0436\u0435. \u041f\u0440\u043e\u0441\u044c\u0431\u0430 &#8212; \u043e\u043f\u043b\u0430\u0442\u0438\u0442\u044c \u043e\u0440\u0433\u0432\u0437\u043d\u043e\u0441\u044b \u0434\u043e\u00a02 \u0438\u044e\u043d\u044f\u00a0(\u0447\u0442\u043e\u0431\u044b \u0412\u0430\u0448\u0438 \u0442\u0435\u0437\u0438\u0441\u044b \u0431\u044b\u043b\u0438 \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u044b \u0432 \u0441\u0431\u043e\u0440\u043d\u0438\u043a \u0442\u0440\u0443\u0434\u043e\u0432 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438). \u0424\u0438\u043d\u0430\u043b\u044c\u043d\u043e\u0435 \u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0438 &hellip; <a href=\"https:\/\/conf.icgbio.ru\/bgrssb2014\/oral_poster\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":13,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/pages\/207"}],"collection":[{"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/comments?post=207"}],"version-history":[{"count":2,"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/pages\/207\/revisions"}],"predecessor-version":[{"id":209,"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/pages\/207\/revisions\/209"}],"wp:attachment":[{"href":"https:\/\/conf.icgbio.ru\/bgrssb2014\/wp-json\/wp\/v2\/media?parent=207"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}