Literature DB >> 16392795

Protein structures in virtual screening: a case study with CDK2.

Mark P Thomas1, Campbell McInnes, Peter M Fischer.   

Abstract

The influence of protein structure on the successful reproduction of known ligand poses by high-throughput docking programs is rarely discussed. Two commonly used programs, Glide and GOLD, were used to dock a set of CDK2 inhibitors of known bound pose into 20 different CDK2 structures. The numbers of docked poses that reproduced the known pose are reported. Depending on the program and protein structure, 0.3%-96.2% of the ligands docked with the correct pose. Although it is not possible to say that any one structure is "the best" for virtual screening, there are some structures that are clearly better than others. The main determinants of this are the volume of the binding site into which the ligands are docked and the exact orientation of the residues forming the binding site.

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Year:  2006        PMID: 16392795     DOI: 10.1021/jm050554i

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


  13 in total

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Journal:  Eur J Med Chem       Date:  2011-10-20       Impact factor: 6.514

2.  Discovery of novel checkpoint kinase 1 inhibitors by virtual screening based on multiple crystal structures.

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Journal:  J Chem Inf Model       Date:  2011-10-12       Impact factor: 4.956

3.  VSDMIP: virtual screening data management on an integrated platform.

Authors:  Rubén Gil-Redondo; Jorge Estrada; Antonio Morreale; Fernando Herranz; Javier Sancho; Angel R Ortiz
Journal:  J Comput Aided Mol Des       Date:  2008-10-22       Impact factor: 3.686

4.  Molecular recognition in the case of flexible targets.

Authors:  Anthony Ivetac; J Andrew McCammon
Journal:  Curr Pharm Des       Date:  2011       Impact factor: 3.116

5.  How to choose relevant multiple receptor conformations for virtual screening: a test case of Cdk2 and normal mode analysis.

Authors:  Olivier Sperandio; Liliane Mouawad; Eulalie Pinto; Bruno O Villoutreix; David Perahia; Maria A Miteva
Journal:  Eur Biophys J       Date:  2010-03-18       Impact factor: 1.733

6.  Visualizing ensembles in structural biology.

Authors:  Ryan L Melvin; Freddie R Salsbury
Journal:  J Mol Graph Model       Date:  2016-05-04       Impact factor: 2.518

7.  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

8.  Evaluation of the utility of homology models in high throughput docking.

Authors:  Philippe Ferrara; Edgar Jacoby
Journal:  J Mol Model       Date:  2007-05-09       Impact factor: 1.810

9.  Consistent improvement of cross-docking results using binding site ensembles generated with elastic network normal modes.

Authors:  Manuel Rueda; Giovanni Bottegoni; Ruben Abagyan
Journal:  J Chem Inf Model       Date:  2009-03       Impact factor: 4.956

10.  High-performance drug discovery: computational screening by combining docking and molecular dynamics simulations.

Authors:  Noriaki Okimoto; Noriyuki Futatsugi; Hideyoshi Fuji; Atsushi Suenaga; Gentaro Morimoto; Ryoko Yanai; Yousuke Ohno; Tetsu Narumi; Makoto Taiji
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

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