Covalent docking using autodock: Two-point attractor and flexible side chain methods

被引:173
作者
Bianco, Giulia [1 ]
Forli, Stefano [2 ]
Goodsell, David S. [2 ]
Olson, Arthur J. [2 ]
机构
[1] Univ Cagliari, Drug Sci Sect, Dept Life & Environm Sci, Via Osped 72, I-09124 Cagliari, Italy
[2] Scripps Res Inst, Mol Graph Lab, Dept Integrat Struct & Computat Biol, MB 112,10550 North Torrey Pines Rd, La Jolla, CA 92037 USA
基金
美国国家卫生研究院;
关键词
computational docking; computer-aided drug design; covalent inhibitors; ligand-protein interactions; PROTEIN-LIGAND DOCKING; AUTOMATED DOCKING; CRYSTAL-STRUCTURE; FORCE-FIELD; INHIBITORS; COMPLEXES; ALGORITHM; DISCOVERY;
D O I
10.1002/pro.2733
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 describe two methods of automated covalent docking using Autodock4: the two-point attractor method and the flexible side chain method. Both methods were applied to a training set of 20 diverse protein-ligand covalent complexes, evaluating their reliability in predicting the crystallographic pose of the ligands. The flexible side chain method performed best, recovering the pose in 75% of cases, with failures for the largest inhibitors tested. Both methods are freely available at the AutoDock website (http://autodock.scripps.edu).
引用
收藏
页码:295 / 301
页数:7
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