Development and validation of a modular, extensible docking program: DOCK 5

被引:316
作者
Moustakas, Demetri T.
Lang, P. Therese
Pegg, Scott
Pettersen, Eric
Kuntz, Irwin D.
Brooijmans, Natasja
Rizzo, Robert C.
机构
[1] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Joint Grad Program Bioengn, San Francisco, CA 94143 USA
[3] Univ Calif Berkeley, Joint Grad Program Bioengn, Berkeley, CA 94720 USA
[4] Univ Calif San Francisco, Grad Program Chem & Chem Biol, San Francisco, CA 94143 USA
[5] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
基金
美国国家卫生研究院;
关键词
automated docking; scoring functions; structure-based drug design; flexible docking; binding mode prediction; incremental construction; validation;
D O I
10.1007/s10822-006-9060-4
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We report on the development and validation of a new version of DOCK. The algorithm has been rewritten in a modular format, which allows for easy implementation of new scoring functions, sampling methods and analysis tools. We validated the sampling algorithm with a test set of 114 protein-ligand complexes. Using an optimized parameter set, we are able to reproduce the crystal ligand pose to within 2 angstrom of the crystal structure for 79% of the test cases using our rigid ligand docking algorithm with an average run time of 1 min per complex and for 72% of the test cases using our flexible ligand docking algorithm with an average run time of 5 min per complex. Finally, we perform an analysis of the docking failures in the test set and determine that the sampling algorithm is generally sufficient for the binding pose prediction problem for up to 7 rotatable bonds; i.e. 99% of the rigid ligand docking cases and 95% of the flexible ligand docking cases are sampled successfully. We point out that success rates could be improved through more advanced modeling of the receptor prior to docking and through improvement of the force field parameters, particularly for structures containing metal-based cofactors.
引用
收藏
页码:601 / 619
页数:19
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