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Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates.

B. Sobolev, D. Filimonov, A. Lagunin, A. Zakharov, O. Koborova, A. Kel, and V. Poroikov. BMC Bioinform., (2010)

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Vladimir Dyakonov

Vladimir Milutinovi

Vladimir Spokoiny

Vladimir Bondarev

Vladimir Borisov

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HGMMX: Host Gut Microbiota Metabolism Xenobiotics Database.A. Kolodnitsky, N. Ionov, A. Rudik, D. Filimonov, and V. Poroikov. J. Chem. Inf. Model., 63 (21): 6463-6468 (November 2023)CYCLONET - an integrated database on cell cycle regulation and carcinogenesis.F. Kolpakov, V. Poroikov, R. Sharipov, Y. Kondrakhin, A. Zakharov, A. Lagunin, L. Milanesi, and A. Kel. Nucleic Acids Res., 35 (Database-Issue): 550-556 (2007)A New Statistical Approach to Predicting Aromatic Hydroxylation Sites. Comparison with Model-Based Approaches.Y. Borodina, A. Rudik, D. Filimonov, N. Kharchevnikova, A. Dmitriev, V. Blinova, and V. Poroikov. J. Chem. Inf. Model., 44 (6): 1998-2009 (2004)Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates.B. Sobolev, D. Filimonov, A. Lagunin, A. Zakharov, O. Koborova, A. Kel, and V. Poroikov. BMC Bioinform., (2010)Revealing pharmacodynamics of medicinal plants using in silico approach: A case study with wet lab validation.D. Singh, D. Gawande, T. Singh, V. Poroikov, and R. Goel. Comput. Biol. Medicine, (2014)Recognition of protein Function Using the Local Similarity.K. Alexandrov, B. Sobolev, D. Filimonov, and V. Poroikov. J. Bioinform. Comput. Biol., 6 (4): 709-725 (2008)Chemical Similarity Assessment through Multilevel Neighborhoods of Atoms: Definition and Comparison with the Other Descriptors.D. Filimonov, V. Poroikov, Y. Borodina, and T. Gloriozova. J. Chem. Inf. Comput. Sci., 39 (4): 666-670 (1999)Prediction of reacting atoms for the major biotransformation reactions of organic xenobiotics.A. Rudik, A. Dmitriev, A. Lagunin, D. Filimonov, and V. Poroikov. J. Cheminformatics, 8 (1): 68:1-68:9 (2016)QSAR Modeling Using Large-Scale Databases: Case Study for HIV-1 Reverse Transcriptase Inhibitors.O. Tarasova, A. Urusova, D. Filimonov, M. Nicklaus, A. Zakharov, and V. Poroikov. Journal of Chemical Information and Modeling, 55 (7): 1388-1399 (2015)SAnDReS 2.0: Development of machine-learning models to explore the scoring function space.W. de Azevedo Jr., R. Quiroga, M. Villarreal, N. da Silveira, G. Bitencourt-Ferreira, A. da Silva, M. Veit-Acosta, P. Oliveira, M. Tutone, N. Biziukova and 3 other author(s). J. Comput. Chem., 45 (27, October): 2333-2346 (2024)

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Disambiguation of "Poroikov, Vladimir"

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Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates.

Please choose a person to relate this publication to

Vladimir Dyakonov

Vladimir Milutinovi

Vladimir Spokoiny

Vladimir Bondarev

Vladimir Borisov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Poroikov, Vladimir"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates.

Please choose a person to relate this publication to

Vladimir Dyakonov

Vladimir Milutinovi

Vladimir Spokoiny

Vladimir Bondarev

Vladimir Borisov

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates.