DOCK 6: Impact of new features and current docking performance
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- William J. Allen
- Department of Applied Mathematics & Statistics Stony Brook University Stony Brook New York 11794
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- Trent E. Balius
- Department of Applied Mathematics & Statistics Stony Brook University Stony Brook New York 11794
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- Sudipto Mukherjee
- Department of Applied Mathematics & Statistics Stony Brook University Stony Brook New York 11794
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- Scott R. Brozell
- BioMaPs Institute and Department of Chemistry and Chemical Biology, Rutgers University Piscataway New Jersey 08854
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- Demetri T. Moustakas
- Infection Innovative Medicines Unit, AstraZeneca R&D Boston, 35 Gatehouse Drive Waltham Massachusetts 02451
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- P. Therese Lang
- Department of Molecular and Cell Biology University of California Berkeley Berkeley California 94720
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- David A. Case
- BioMaPs Institute and Department of Chemistry and Chemical Biology, Rutgers University Piscataway New Jersey 08854
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- Irwin D. Kuntz
- Department of Pharmaceutical Chemistry University of California San Francisco San Francisco California 94143
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- Robert C. Rizzo
- Department of Applied Mathematics & Statistics Stony Brook University Stony Brook New York 11794
Description
<jats:p>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 <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://dock.compbio.ucsf.edu/">http://dock.compbio.ucsf.edu/</jats:ext-link>. © 2015 Wiley Periodicals, Inc.</jats:p>
Journal
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- Journal of Computational Chemistry
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Journal of Computational Chemistry 36 (15), 1132-1156, 2015-04-27
Wiley
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Details 詳細情報について
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- CRID
- 1361418520343224448
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- ISSN
- 1096987X
- 01928651
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- Data Source
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- Crossref