Literature DB >> 25914306

DOCK 6: Impact of new features and current docking performance.

William J Allen1, Trent E Balius, Sudipto Mukherjee, Scott R Brozell, Demetri T Moustakas, P Therese Lang, David A Case, Irwin D Kuntz, Robert C Rizzo.   

Abstract

This manuscript presents the latest algorithmic and methodological developments to the structure-based design program DOCK 6.7 focused on an updated internal energy function, new anchor selection control, enhanced minimization options, a footprint similarity scoring function, a symmetry-corrected root-mean-square deviation algorithm, a database filter, and docking forensic tools. An important strategy during development involved use of three orthogonal metrics for assessment and validation: pose reproduction over a large database of 1043 protein-ligand complexes (SB2012 test set), cross-docking to 24 drug-target protein families, and database enrichment using large active and decoy datasets (Directory of Useful Decoys [DUD]-E test set) for five important proteins including HIV protease and IGF-1R. Relative to earlier versions, a key outcome of the work is a significant increase in pose reproduction success in going from DOCK 4.0.2 (51.4%) → 5.4 (65.2%) → 6.7 (73.3%) as a result of significant decreases in failure arising from both sampling 24.1% → 13.6% → 9.1% and scoring 24.4% → 21.1% → 17.5%. Companion cross-docking and enrichment studies with the new version highlight other strengths and remaining areas for improvement, especially for systems containing metal ions. The source code for DOCK 6.7 is available for download and free for academic users at http://dock.compbio.ucsf.edu/.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  DOCK; cross-docking; docking; enrichment; ligand flexibility; pose reproduction; virtual screening

Mesh:

Year:  2015        PMID: 25914306      PMCID: PMC4469538          DOI: 10.1002/jcc.23905

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  118 in total

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Journal:  J Med Chem       Date:  2006-10-19       Impact factor: 7.446

3.  Grid-based molecular footprint comparison method for docking and de novo design: application to HIVgp41.

Authors:  Trent E Balius; William J Allen; Sudipto Mukherjee; Robert C Rizzo
Journal:  J Comput Chem       Date:  2013-02-22       Impact factor: 3.376

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Authors:  H Van Marck; I Dierynck; G Kraus; S Hallenberger; T Pattery; G Muyldermans; L Geeraert; L Borozdina; R Bonesteel; C Aston; E Shaw; Q Chen; C Martinez; V Koka; J Lee; E Chi; M-P de Béthune; K Hertogs
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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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  166 in total

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2.  Ligand- and receptor-based docking with LiBELa.

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6.  Biased Docking for Protein-Ligand Pose Prediction.

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7.  GalaxyDock BP2 score: a hybrid scoring function for accurate protein-ligand docking.

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Review 8.  Software for molecular docking: a review.

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9.  Exploring the binding properties of agonists interacting with glucocorticoid receptor: an in silico approach.

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10.  Bergenin: a computationally proven promising scaffold for novel galectin-3 inhibitors.

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