Literature DB >> 19185058

Managing protein flexibility in docking and its applications.

Chandrika B-Rao1, Jyothi Subramanian, Somesh D Sharma.   

Abstract

Docking, virtual screening and structure-based drug design are routinely used in modern drug discovery programs. Although current docking methods deal with flexible ligands, managing receptor flexibility has proved to be challenging. In this brief review, we present the current state-of-the-art for computationally handling receptor flexibility, including a novel statistical computational approach published recently. We conclude, from a comparison of the different approaches, that a combination of methods is likely to provide the most reliable solution to the problem of finding the right protein conformation for a given ligand.

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Year:  2009        PMID: 19185058     DOI: 10.1016/j.drudis.2009.01.003

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  63 in total

1.  Utilizing experimental data for reducing ensemble size in flexible-protein docking.

Authors:  Mengang Xu; Markus A Lill
Journal:  J Chem Inf Model       Date:  2011-12-19       Impact factor: 4.956

Review 2.  Virtual screening: an endless staircase?

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2010-04       Impact factor: 84.694

3.  Exploring the landscape of protein-ligand interaction energy using probabilistic approach.

Authors:  Marcin Pacholczyk; Marek Kimmel
Journal:  J Comput Biol       Date:  2010-11-20       Impact factor: 1.479

4.  Discovery of novel selective serotonin reuptake inhibitors through development of a protein-based pharmacophore.

Authors:  Sankar Manepalli; Laura M Geffert; Christopher K Surratt; Jeffry D Madura
Journal:  J Chem Inf Model       Date:  2011-09-02       Impact factor: 4.956

5.  Balancing target flexibility and target denaturation in computational fragment-based inhibitor discovery.

Authors:  Theresa J Foster; Alexander D MacKerell; Olgun Guvench
Journal:  J Comput Chem       Date:  2012-05-28       Impact factor: 3.376

Review 6.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

7.  Structure-based ensemble-QSAR model: a novel approach to the study of the EGFR tyrosine kinase and its inhibitors.

Authors:  Xian-qiang Sun; Lei Chen; Yao-zong Li; Wei-hua Li; Gui-xia Liu; Yao-quan Tu; Yun Tang
Journal:  Acta Pharmacol Sin       Date:  2013-12-16       Impact factor: 6.150

Review 8.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

Review 9.  Modelling three-dimensional protein structures for applications in drug design.

Authors:  Tobias Schmidt; Andreas Bergner; Torsten Schwede
Journal:  Drug Discov Today       Date:  2013-11-08       Impact factor: 7.851

10.  Recipes for the selection of experimental protein conformations for virtual screening.

Authors:  Manuel Rueda; Giovanni Bottegoni; Ruben Abagyan
Journal:  J Chem Inf Model       Date:  2010-01       Impact factor: 4.956

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