В.В. Поройков

Аватар пользователя В.В. Поройков
Владимир
Васильевич
Поройков
Место работы, город: 
Федеральное государственное бюджетное научное учреждение "Научно-исследовательский институт биомедицинской химии имени В.Н. Ореховича" (ИБМХ), Москва
Степень: 
д.б.н., к.ф.-м.н.
Должность, звание: 
Главный научный сотрудник, заведующий отделом биоинформатики и лабораторией структурно-функционального конструирования лекарств, профессор
Публикации: 

Lagunin A., Rudik A., Filimonov D., Druzhilovsky D., Poroikov V. (2018). ROSC-Pred: web-service for rodent organ-specific carcinogenicity prediction. Bioinformatics, 34 (4), 710–712.. DOI: 10.1093/bioinformatics/btx678

Ivanov S.M., Lagunin A.A., Rudik A.V., Filimonov D.A., Poroikov V.V. (2018). ADVERPred – web service for prediction of adverse effects of drugs. Journal of Chemical Information and Modeling, 58 (1), 8-11. DOI: 10.1021/acs.jcim.7b00568

Bezhentsev V., Ivanov S., Kumar S., Goel R., Poroikov V. (2018). Identification of potential drug targets for treatment of refractory epilepsy using network pharmacology. Journal of Bioinformatics and Computational Biology, 16 (1), 1840002. DOI: 10.1142/S0219720018400024

Goel R.K., Gawande D.Y., Lagunin A.A., Poroikov V. (2018). Pharmacological repositioning of Achyranthes aspera as antidepressant using pharmacoinformatic tools PASS and PharmaExpert: A case study with wet lab validation. SAR QSAR Environ. Res., 29 (1), 69-81. DOI: 10.1080/1062936X.2017.1408683

Lagunin A.A., Dubovskaja V.I., Rudik A.V., Pogodin P.V., Druzhilovskiy D.S., Gloriozova T.A., Filimonov D.A., Sastry G.N., Poroikov V.V. (2018). CLC-Pred: a freely available web-service for in silico prediction of human cell line cytotoxicity for drug-like compounds. PLOS One, 13 (1), e0191838. DOI: 10.1371/journal.pone.0191838

Murtazalieva K.A., Druzhilovskiy D.S., Goel R.K., Sastry G.N., Poroikov V.V. (2017). How good are publicly available web services that predict bioactivity profiles for drug repurposing? SAR and QSAR in Environmental Research, 28 (10), 843-862. DOI: 10.1080/1062936X.2017.1399448

Nagamani S., Gaur A.S., Tanneeru K., Muneeswaran G., Madugula S.S., MPDS Consortium, Druzhilovskiy D., Poroikov V.V., Sastry G.N. (2017) Molecular property diagnostic suite (MPDS): Development of disease-specific open source web portals for drug discovery. SAR and QSAR in Environmental Research, 28 (11), 913-926. DOI: 10.1080/1062936X.2017.1402819

Tarasova O, Rudik A, Dmitriev A, Lagunin A, Filimonov D, Poroikov V. (2017). QNA-Based Prediction of Sites of Metabolism. Molecules, 22 (12), 2123. DOI: 10.3390/molecules22122123.

Janardhan S., John L., Prasanthi M., Poroikov V.V., Sastry G.N. (2017). A QSAR and molecular modeling study towards new lead finding: Polypharmacological approach to Mycobacterium tuberculosis. SAR and QSAR in Environmental Research, 28 (10), 815-832. DOI: 10.1080/1062936X.2017.1398782

Druzhilovskiy D.S., Rudik A.V., Filimonov D.A., Gloriozova T.A., Lagunin A.A., Dmitriev A.V., Pogodin P.V., Dubovskaya V.I., Ivanov S.M., Tarasova O.A., Bezhentsev V.M., Murtazalieva K.A., Semin M.I., Maiorov I.S., Gaur A.S., Sastry G.N., Poroikov V.V. (2017). Computational platform Way2Drug: from the prediction of biological activity to drug repurposing. Russian Chemical Bulletin, International Edition, 66 (10), 1832-1841. DOI: 1066-5285/17/6610-1832.

Dmitriev A., Rudik A., Filimonov D., Lagunin A., Pogodin P., Druzhilovsky D., Ivanov S., Tarasova O., Konova V., Bezhentsev V., Poroikov V. (2017). Integral estimation of xenobiotics’ toxicity with regard to their metabolism in human organism. Pure and Applied Chemistry, 89 (10),1449–1458.  DOI: https://doi.org/10.1515/pac-2016-1205.

Ivanov S., Semin M., Lagunin A., Filimonov D., Poroikov V. (2017). In silico identification of proteins associated with drug-induced liver injury based on the prediction of drug-target interactions. Molecular Informatics,36 (7), 1600142. . DOI: 10.1002/minf.201600142

Stasevych M., Zvarych V., Lunin V., Deniz N.G., Gokmen Z., Akgun O., Ulukaya E., Poroikov V., Gloriozova T., Novikov V. (2017). Computer-aided prediction and experimental testing of the dithiocarbamate derivatives of 9,10-anthracenedione as anticancer agents. SAR and QSAR  in Environmental Research, 28 (5), 355-366. DOI: 10.1080/1062936X.2017.1323796

Rudik A.V., Bezhentsev V.M., Dmitriev A.V., Druzhilovskiy D.S., Lagunin A.A., Filimonov D.A., Poroikov V.V. (2017). MetaTox: Web Application for Predicting Structure and Toxicity of Xenobiotics’ Metabolites. Journal of Chemical Information and Modeling, 57 (4), 638–642. DOI: 10.1021/acs.jcim.6b00662

Беженцев В.М., Дружиловский Д.С., Иванов С.М., Филимонов Д.А., Sastry G.N., Поройков В.В. (2017). Веб-ресурсы для поиска и разработки новых лекарственных препаратов. Хим.-фарм. журн., 51 (2), 3-11. / Bezhentsev V.M., Druzhilovskii D.S., Ivanov S.M., Filimonov D.A., Sastry G.N., Poroikov V.V. (2017). Web Resources for Discovery and Development of New Medicines. Pharm. Chem. J., 51 (2), 91–99. DOI 10.1007/s11094-017-1563-x

Tarasova O., Filimonov D., Poroikov V. (2017). PASS-based approach to predict HIV-1 reverse transcriptase resistance. J. Bioinform. Comput. Biol., 15 (2), 1650040-1 - 1650040-15. DOI: http://dx.doi.org/10.1142/S0219720016500402

Vasil’ev P.M., Kalitin K.Yu., Spasov A.A., Grechko O.Yu., Poroikov V.V., Filimonov D.A., Anisimova V.A. (2017). Prediction and study of anticonvulsant properties of benzimidazole derivatives. Pharmaceutical Chemistry Journal, 50 (12), 775–780. DOI: 10.1007/s11094-017-1530-6

Rudik A.V., Dmitriev A.V., Lagunin A.A., Filimonov D.A., Poroikov V.V. (2016). Prediction of reacting atoms for the major biotransformation reactions of organic xenobiotics. J. Cheminform., 8, 68. DOI 10.1186/s13321-016-0183-x

Kel A.E., Stegmaier P., Valeev T., Koschmann J., Poroikov V., Kel-Margoulis O.V., Wingender E. Multi-omics “Upstream Analysis” of regulatory genomic regions helps identifying targets against methotrexate resistance of colon cancer. EuPA Open Proteomics, 2016, 13, 1-13. DOI: 10.1016/j.euprot.2016.09.002

Zakharov A.V., Varlamova E.V., Lagunin A.A., Dmitriev A.V., Muratov E.N., Fourches D., Kuz'min V.E., Poroikov V.V., Tropsha A., Nicklaus M.C. (2016). QSAR Modeling and Prediction of Drug-Drug Interactions. Molecular Pharmaceutics, 13 (2), 545–556. DOI: 10.1021/acs.molpharmaceut.5b00762

Bezhentsev V.M., Tarasova O.A., Dmitriev A.V., Rudik A.V., Lagunin A.A., Filimonov D.A., Poroikov V.V. (2016). Computer-aided prediction of xenobiotics metabolism in the human organism. Russian Chemical Reviews, 85 (8) 854-879. DOI: 10.1070/RCR4614.

Druzhilovskiy D.S., Rudik A.V., Filimonov D.A., Lagunin A.A., Gloriozova T.A., and Poroikov V.V. (2016). Online resources for the prediction of biological activity of organic compounds. Russian Chemical Bulletin, International Edition, 65 (2), 384-393. DOI: 10.1007/s11172-016-1310-6

Geronikaki A., Eleftheriou P., Poroikov V. (2016). Anti-HIV Agents: Current Status and Recent Trends. Topics in Medicinal Chemistry. 1-59. DOI:10.1007/7355_2015_5001.

Ivanov S.M., Lagunin A.A., Poroikov V.V. (2016). In silico assessment of adverse drug reactions and associated mechanisms. Drug Discovery Today, 21 (1), 58-71. DOI: 10.1016/j.drudis.2015.07.018.

Poroikov V. (2015). 20th EuroQSAR: Understanding Chemical-Biological Interactions. Molecular Informatics, 34 (6-7), 340. DOI: 10.1002/minf.201580631

Guasch L., Zakharov A.V., Tarasova O.A., Poroikov V.V., Liao C., Nicklaus M.C. (2015). Novel HIV-1 integrase inhibitor development by virtual screening based on QSAR models. Current Topics in Medicinal Chemistry, 2015, 16 (4), 441-448. DOI: 10.2174/1568026615666150813150433

Konova V., Lagunin A., Pogodin P., Kolotova E., Shtil A., Poroikov V. (2015). Virtual screening of chemical compounds active against breast cancer cell lines based on cell cycle modeling, prediction of cytotoxicity and interaction with targets. SAR and QSAR in Environmental Research, 26 (7-9), 595-604. DOI: 10.1080/1062936X.2015.1076516

Pogodin P.V., Lagunin A.A., Filimonov D.A., Poroikov V.V. (2015) PASS Targets: ligand-based multi-target computational system based on public data and naïve bayes approach. SAR and QSAR in Environmental Research, 26 (10), 783-793. DOI: 10.1080/1062936X.2015.1078407

Ivanov S.M., Lagunin A.A., Pogodin P.V., Filimonov D.A., Poroikov V.V. (2015). Identification of drug targets related to the induction of ventricular tachyarrhythmia through systems chemical biology approach. Toxicological Sciences, 145 (2): 321-336. DOI: 10.1093/toxsci/kfv054

Rudik A., Dmitriev A., Lagunin A., Filimonov D., Poroikov V. (2015). SOMP: web-service for in silico prediction of sites of metabolism for drug-like compounds. Bioinformatics, 31 (12), 2046-2048. DOI: 10.1093/bioinformatics/btv087.

Tretyakova E.V., Smirnova I.E., Kazakova O.B., Tolstikov G.A., Yavorskaya N.P., Golubeva I.S., Pugacheva R.B., Apryshko G.N., Poroikov V.V. (2014). Synthesis and anticancer activity of quinopimaric and maleopimaric acids’ derivatives. Bioorganic and Medicinal Chemistry, 22 (22), 6481–6489.  DOI: 10.1016/j.bmc.2014.09.030

Lagunin A.A., Goel R.K., Gawande D.Y., Priynka P., Gloriozova T.A. Dmitriev A.V., Ivanov S.M., Rudik A.V., Konova V.I., Pogodin P.V., Druzhilovsky D.S., and Poroikov V.V. (2014). Chemo- and bioinformatics resources for in silico drug discovery from medicinal plants beyond their traditional use: a critical review. Natural Product Reports, 31 (11), 1585-1611. DOI: 10.1039/c4np00068d.

Ivanov S.M., Lagunin A.A., Pogodin P.V., Filimonov D.A., and Poroikov V.V. (2014). Identification of drug-induced myocardial infarction-related protein targets through the prediction of drug-target interactions and analysis of biological processes. Chemical Research in Toxicology, 27 (7): 1263-1281. DOI: 10.1021/tx500147d.

Filimonov D.A., Lagunin A.A., Gloriozova T.A., Rudik A.V., Druzhilovskii D.S., Pogodin P.V., Poroikov V.V. (2014). Prediction of the biological activity spectra of organic compounds using the PASS online web resource. Chemistry of Heterocyclic Compounds, 50 (3), 444-457.  DOI: 10.1007/s10593-014-1496-1.

Rudik A.V., Dmitriev A.V., Lagunin A.A., Filimonov D.A., Poroikov V.V. (2014). Metabolism sites prediction based on xenobiotics structural formulae and PASS prediction algorithm. J. Chem. Inform. Model., 54 (2), 498–507. DOI: 10.1021/ci400472j.

Singh D., Gawande D., Singh T., Poroikov V., Goel R.K. (2014). Revealing pharmacodynamics of medicinal plants using in silico approach: A case study with wet lab validation. Computers in Biology and Medicine, 47 (1) 1-6. DOI: 10.1016/j.compbiomed.2014.01.003.

Соболев Б.Н., Веселовский А.В., Поройков В.В. (2014). Предсказание посттрансляционных модификаций в белках: основные направления и методы. Успехи химии, 83 (2), 143-154. DOI: 10.1070/RC2014v083n02ABEH004377.

Область экспертизы: 

Биоинформатика, хемоинформатика, анализ взаимосвязей "структура-активность", молекулярное моделирование, компьютерное конструирование лекарств

Дополнительные сведения: 

Окончил Физический факультет МГУ в 1974 г. В 1974-1995 г.г. работал в НИИ по БИХС (ныне – ВНЦ БАВ). С 1995 года по настоящее время работаю в ИБМХ, с 2008 г. – зав. отделом биоинформатики. В 2006-2015 г.г. – профессор МБФ РНИМУ им. Н.И. Пирогова. К.ф.-м.н. ("биофизика", 1981 г.), д.б.н. ("фармакология", 1995 г.), профессор ("биохимия", 2000 г.), профессор ("математическая биология, биоинформатика", 2013 г.). Окончил Iskra Business School, (Tokyo, Japan, 1993 г.), квалификация по диплому – «менеджер»; курс «Основы управления интеллектуальной собственностью» (Chicago, USA, 2007 г.); курс «Перспективы развития профессионального педагогического мастерства» (РГМУ, Москва, 2010 г.). Являюсь членом Американского химического общества, Российского общества фармакологов; членом редколлегий научных журналов «Биомедицинская химия», «Химико-фармацевтический журнал», "Biology Direct" (Bioinformatics Section), “SAR and QSAR in Environmental Research”, International Journal of Quantitative Structure-Property Relationships, рецензентом Bioorganic and Medicinal Chemistry, PNAS, Molecular Informatics и других журналов; членом экспертной коллегии Фонда развития инновационного центра "Сколково", экспертом ФЦП Минобрнауки РФ, Российского научного фонда, РФФИ.

Curriculum Vitae: