Literature DB >> 20222690

Ensemble docking into multiple crystallographically derived protein structures: an evaluation based on the statistical analysis of enrichments.

Ian R Craig1, Jonathan W Essex, Katrin Spiegel.   

Abstract

Docking into multiple receptor conformations ("ensemble docking") has been proposed, and employed, in the hope that it may account for receptor flexibility in virtual screening and thus provide higher enrichments than docking into single rigid receptor structures. The statistical analyses presented in this paper provide quantitative evidence that in some cases docking into a crystallographically derived conformational ensemble does indeed yield better enrichment than docking into any of the individual members of the ensemble. However, these "successful" ensembles account for only a minority of those examined and it would not have been possible to prospectively predict their identity using only protein structural information. A more frequently observed outcome is that the ensemble enrichment is higher than the mean of the enrichments provided by its individual members. An additional and promising finding is that, if a set of known active compounds is available, an approach based on induced-fit docking appears to be a reliable way to construct ensembles which provide relatively high enrichments.

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Year:  2010        PMID: 20222690     DOI: 10.1021/ci900407c

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  39 in total

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Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2012-01-15       Impact factor: 3.686

2.  Virtual screening using a conformationally flexible target protein: models for ligand binding to p38α MAPK.

Authors:  Natalie B Vinh; Jamie S Simpson; Peter J Scammells; David K Chalmers
Journal:  J Comput Aided Mol Des       Date:  2012-04-20       Impact factor: 3.686

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

Authors:  Yan Li; Dong Joon Kim; Weiya Ma; Ronald A Lubet; Ann M Bode; Zigang Dong
Journal:  J Chem Inf Model       Date:  2011-10-12       Impact factor: 4.956

4.  Accurate prediction of the bound form of the Akt pleckstrin homology domain using normal mode analysis to explore structural flexibility.

Authors:  Hoang T Tran; Shuxing Zhang
Journal:  J Chem Inf Model       Date:  2011-08-25       Impact factor: 4.956

5.  Novel ligands that target the mitochondrial membrane protein mitoNEET.

Authors:  Robert M Bieganski; Martin L Yarmush
Journal:  J Mol Graph Model       Date:  2011-04-13       Impact factor: 2.518

6.  Fragment-based drug discovery using a multidomain, parallel MD-MM/PBSA screening protocol.

Authors:  Tian Zhu; Hyun Lee; Hao Lei; Christopher Jones; Kavankumar Patel; Michael E Johnson; Kirk E Hevener
Journal:  J Chem Inf Model       Date:  2013-03-14       Impact factor: 4.956

Review 7.  Receptor-ligand molecular docking.

Authors:  Isabella A Guedes; Camila S de Magalhães; Laurent E Dardenne
Journal:  Biophys Rev       Date:  2013-12-21

8.  Implicit ligand theory: rigorous binding free energies and thermodynamic expectations from molecular docking.

Authors:  David D L Minh
Journal:  J Chem Phys       Date:  2012-09-14       Impact factor: 3.488

9.  Consensus Induced Fit Docking (cIFD): methodology, validation, and application to the discovery of novel Crm1 inhibitors.

Authors:  Ori Kalid; Dora Toledo Warshaviak; Sharon Shechter; Woody Sherman; Sharon Shacham
Journal:  J Comput Aided Mol Des       Date:  2012-09-30       Impact factor: 3.686

10.  Enhancing Virtual Screening Performance of Protein Kinases with Molecular Dynamics Simulations.

Authors:  Tavina L Offutt; Robert V Swift; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2016-10-03       Impact factor: 4.956

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