Literature DB >> 14695822

Multiple active site corrections for docking and virtual screening.

Guy P A Vigers1, James P Rizzi.   

Abstract

Several docking programs are now available that can reproduce the bound conformation of a ligand in an active site, for a wide variety of experimentally determined complexes. However, these programs generally perform less well at ranking multiple possible ligands in one site. Since accurate identification of potential ligands is a prerequisite for many aspects of structure-based drug design, this is a serious limitation. We have tested the ability of two docking programs, FlexX and Gold, to match ligands and active sites for multiple complexes. We show that none of the docking scores from either program are able to match consistently ligands and active sites in our tests. We propose a simple statistical correction, the multiple active site correction (MASC), which greatly ameliorates this problem. We have also tested the correction method against an extended set of 63 cocrystals and in a virtual screening experiment. In all cases, MASC significantly improves the results of the docking experiments.

Mesh:

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Year:  2004        PMID: 14695822     DOI: 10.1021/jm030161o

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  21 in total

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Authors:  Giorgio Carta; Valeria Onnis; Andrew J S Knox; Darren Fayne; David G Lloyd
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Review 4.  In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

Review 5.  Receptor-ligand molecular docking.

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Journal:  Biophys Rev       Date:  2013-12-21

6.  Thermodynamic computational approach to capture molecular recognition in the binding of different inhibitors to the DNA gyrase B subunit from Escherichia coli.

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Journal:  J Mol Model       Date:  2013-04-30       Impact factor: 1.810

7.  Comparison of current docking tools for the simulation of inhibitor binding by the transmembrane domain of the sarco/endoplasmic reticulum calcium ATPase.

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Journal:  Biophys Chem       Date:  2010-02-04       Impact factor: 2.352

8.  Identifying unexpected therapeutic targets via chemical-protein interactome.

Authors:  Lun Yang; Jian Chen; Leming Shi; Michael P Hudock; Kejian Wang; Lin He
Journal:  PLoS One       Date:  2010-03-08       Impact factor: 3.240

9.  A similarity search using molecular topological graphs.

Authors:  Yoshifumi Fukunishi; Haruki Nakamura
Journal:  J Biomed Biotechnol       Date:  2009-12-13

10.  Harvesting candidate genes responsible for serious adverse drug reactions from a chemical-protein interactome.

Authors:  Lun Yang; Jian Chen; Lin He
Journal:  PLoS Comput Biol       Date:  2009-07-24       Impact factor: 4.475

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