Literature DB >> 12660988

Automated generation of MCSS-derived pharmacophoric DOCK site points for searching multiconformation databases.

Diane Joseph-McCarthy1, Juan C Alvarez.   

Abstract

All docking methods employ some sort of heuristic to orient the ligand molecules into the binding site of the target structure. An automated method, MCSS2SPTS, for generating chemically labeled site points for docking is presented. MCSS2SPTS employs the program Multiple Copy Simultaneous Search (MCSS) to determine target-based theoretical pharmacophores. More specifically, chemically labeled site points are automatically extracted from selected low-energy functional-group minima and clustered together. These pharmacophoric site points can then be directly matched to the pharmacophoric features of database molecules with the use of either DOCK or PhDOCK to place the small molecules into the binding site. Several examples of the ability of MCSS2SPTS to reproduce the three-dimensional pharmacophoric features of ligands from known ligand-protein complex structures are discussed. In addition, a site-point set calculated for one human immunodeficiency virus 1 (HIV1) protease structure is used with PhDOCK to dock a set of HIV1 protease ligands; the docked poses are compared to the corresponding complex structures of the ligands. Finally, the use of an MCSS2SPTS-derived site-point set for acyl carrier protein synthase is compared to the use of atomic positions from a bound ligand as site points for a large-scale DOCK search. In general, MCSS2SPTS-generated site points focus the search on the more relevant areas and thereby allow for more effective sampling of the target site. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12660988     DOI: 10.1002/prot.10296

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  11 in total

1.  Gaussian mapping of chemical fragments in ligand binding sites.

Authors:  Kun Wang; Marta Murcia; Pere Constans; Carlos Pérez; Angel R Ortiz
Journal:  J Comput Aided Mol Des       Date:  2004-02       Impact factor: 3.686

2.  Ligand design by a combinatorial approach based on modeling and experiment: application to HLA-DR4.

Authors:  Erik Evensen; Diane Joseph-McCarthy; Gregory A Weiss; Stuart L Schreiber; Martin Karplus
Journal:  J Comput Aided Mol Des       Date:  2007-07-27       Impact factor: 3.686

Review 3.  The multi-copy simultaneous search methodology: a fundamental tool for structure-based drug design.

Authors:  Christian R Schubert; Collin M Stultz
Journal:  J Comput Aided Mol Des       Date:  2009-06-09       Impact factor: 3.686

4.  Challenges of fragment screening.

Authors:  Diane Joseph-McCarthy
Journal:  J Comput Aided Mol Des       Date:  2009-06-30       Impact factor: 3.686

5.  Pharmacophore modeling using site-identification by ligand competitive saturation (SILCS) with multiple probe molecules.

Authors:  Wenbo Yu; Sirish Kaushik Lakkaraju; E Prabhu Raman; Lei Fang; Alexander D MacKerell
Journal:  J Chem Inf Model       Date:  2015-02-06       Impact factor: 4.956

6.  Site-Identification by Ligand Competitive Saturation (SILCS) assisted pharmacophore modeling.

Authors:  Wenbo Yu; Sirish Kaushik Lakkaraju; E Prabhu Raman; Alexander D MacKerell
Journal:  J Comput Aided Mol Des       Date:  2014-03-08       Impact factor: 3.686

7.  Automated clustering of probe molecules from solvent mapping of protein surfaces: new algorithms applied to hot-spot mapping and structure-based drug design.

Authors:  Michael G Lerner; Kristin L Meagher; Heather A Carlson
Journal:  J Comput Aided Mol Des       Date:  2008-08-05       Impact factor: 3.686

Review 8.  Molecular dynamics: survey of methods for simulating the activity of proteins.

Authors:  Stewart A Adcock; J Andrew McCammon
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

Review 9.  Quantum mechanics implementation in drug-design workflows: does it really help?

Authors:  Olayide A Arodola; Mahmoud Es Soliman
Journal:  Drug Des Devel Ther       Date:  2017-08-31       Impact factor: 4.162

10.  Pharmacophore-based similarity scoring for DOCK.

Authors:  Lingling Jiang; Robert C Rizzo
Journal:  J Phys Chem B       Date:  2014-10-10       Impact factor: 2.991

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