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A New Paradigm of Protein Structural Organization
Alexei N. Nekrasov, Anastasia A. Anashkina, Alexei A. Zinchenko, Institute of Physics Belgrade, 2014, SERBIA ISBN: 978-86-82441-40-3.
the method of analysis of the information structure   protein engineering  
The method for identification of hierarchical organization of protein sequences
A. A. Anashkina, A. N. Nekrasov, Russian Journal of Numerical Analysis and Mathematical Modelling (2014) vol. 29(5), pp. 265–273.
Protein sequence   information structure   protein hierarchical organization   ANIS method   informational unit.  
Research of residue contacts within the polypeptide chains depending on the density of information in the sequence
S.D. Koshman, A.A.Zinchenko, A.N. Nekrasov, Moscow Conference on Computational Molecular Biology (MCCMB'13) Moscow, Russia July 25–28, 2013.
informational structure of proteins   protein-protein interaction  
A new paradigm of protein structural organization
Nekrasov A.N., Anashkina A.A., Zinchenko A.A., The Conference “Theoretical Approaches to BioInformation Systems - TABIS 2013”. p.1.
protein structural organization  
A numerical measure of amino acid residues similarity based on the analysis of their surroundings in natural protein sequences
Rogov S.I.. Nekrasov A.N., 2001-07-01
amino acid classification   database   protein sequences  
Prediction of the biological activity spectra of organic compounds using the PASS online web resource
Filimonov D.A., Lagunin A.A., Gloriozova T.A., Rudik A.V., Druzhilovskii D.S., Pogodin P.V., Poroikov V.V., Chemistry of Heterocyclic Compounds, 2014, 50 (3), 444-457..
PASS Online   biological activity   computer prediction   organic compounds   pharmacologically active compounds   web resource  
Computer-aided design & discovery of protein-protein interaction inhibitors as agents for anti-HIV therapy
Veselovsky A.V., Zharkova M.S., Poroikov V.V., Nicklaus M.C., SAR and QSAR in Environmental Research, 2014, 25 (6), 457-471.
HIV-1   protein-protein interactions   inhibitors   computer-aided design & discovery   drug target  
Metabolism sites prediction based on xenobiotics structural formulae and PASS prediction algorithm
Rudik A.V., Dmitriev A.V., Lagunin A.A., Filimonov D.A., Poroikov V.V., Journal of Chemical Information and Modeling, 2014, 54 (2), 498–507..
prediction of sites of metabolism   SOMs   LMNA   PASS   cytochromes P450  
Revealing pharmacodynamics of medicinal plants using in silico approach: A case study with wet lab validation
Singh D., Gawande D., Singh T., Poroikov V., Goel R.K., Computers in Biology and Medicine, 2014, 47 (1), 1-6.
Anticonvulsant   Ficus religiosa L. (Moraceae)   GABA aminotransferase   In silico predictions   Medicinal plants   Prediction of Activity Spectra for Substances (PASS)  
Prediction of protein post-translational modifications: main trends and methods
Sobolev B.N., Veselovsky A.V., Poroikov V.V., Russian Chemical Reviews, 2014, 83 (2), 143–154..
Proteins   posttranslational modifications   computational prediction   phosphorylation   acetylation   glycosylation   ubiqutinization