Literature DB >> 17602548

Evaluations of molecular docking programs for virtual screening.

Kenji Onodera1, Kazuhito Satou, Hiroshi Hirota.   

Abstract

Structure-based virtual screening is carried out using molecular docking programs. A number of such docking programs are currently available, and the selection of docking program is difficult without knowing the characteristics or performance of each program. In this study, the screening performances of three molecular docking programs, DOCK, AutoDock, and GOLD, were evaluated with 116 target proteins. The screening performances were validated using two novel standards, along with a traditional enrichment rate measurement. For the evaluations, each docking run was repeated 1000 times with three initial conformations of a ligand. While each docking program has some merit over the other docking programs in some aspects, DOCK showed an unexpectedly better screening performance in the enrichment rates. Finally, we made several recommendations based on the evaluation results to enhance the screening performances of the docking programs.

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Year:  2007        PMID: 17602548     DOI: 10.1021/ci7000378

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


  25 in total

Review 1.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

2.  Evaluating docking programs: keeping the playing field level.

Authors:  John W Liebeschuetz
Journal:  J Comput Aided Mol Des       Date:  2008-01-15       Impact factor: 3.686

Review 3.  Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection--what can we learn from earlier mistakes?

Authors:  Johannes Kirchmair; Patrick Markt; Simona Distinto; Gerhard Wolber; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2008-01-15       Impact factor: 3.686

Review 4.  Community benchmarks for virtual screening.

Authors:  John J Irwin
Journal:  J Comput Aided Mol Des       Date:  2008-02-14       Impact factor: 3.686

Review 5.  Software for molecular docking: a review.

Authors:  Nataraj S Pagadala; Khajamohiddin Syed; Jack Tuszynski
Journal:  Biophys Rev       Date:  2017-01-16

Review 6.  Software and resources for computational medicinal chemistry.

Authors:  Chenzhong Liao; Markus Sitzmann; Angelo Pugliese; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2011-06       Impact factor: 3.808

7.  Assessing protein-ligand interaction scoring functions with the CASF-2013 benchmark.

Authors:  Yan Li; Minyi Su; Zhihai Liu; Jie Li; Jie Liu; Li Han; Renxiao Wang
Journal:  Nat Protoc       Date:  2018-03-08       Impact factor: 13.491

8.  Docking challenge: protein sampling and molecular docking performance.

Authors:  Khaled M Elokely; Robert J Doerksen
Journal:  J Chem Inf Model       Date:  2013-04-15       Impact factor: 4.956

9.  Validation of molecular docking programs for virtual screening against dihydropteroate synthase.

Authors:  Kirk E Hevener; Wei Zhao; David M Ball; Kerim Babaoglu; Jianjun Qi; Stephen W White; Richard E Lee
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

10.  Automated docking screens: a feasibility study.

Authors:  John J Irwin; Brian K Shoichet; Michael M Mysinger; Niu Huang; Francesco Colizzi; Pascal Wassam; Yiqun Cao
Journal:  J Med Chem       Date:  2009-09-24       Impact factor: 7.446

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