GAsDock: a new approach for rapid flexible docking based on an improved multi-population genetic algorithm

被引:41
作者
Li, HL
Li, CL
Gui, CS
Luo, XM
Chen, KX
Shen, JH [1 ]
Wang, XC
Jiang, HL
机构
[1] Chinese Acad Sci, Shanghai Inst Biol Sci, Shanghai Inst Mat Med, State Key Lab Drug Res,Drug Discovery & Design Ct, Shanghai 201203, Peoples R China
[2] Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dept Mech Engn, Dalian 116023, Peoples R China
基金
中国国家自然科学基金;
关键词
docking; genetic algorithm; information entropy; virtual screening;
D O I
10.1016/j.bmcl.2004.06.091
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Based on an improved multi-population genetic algorithm, a new fast flexible docking program, GAsDock, was developed. The docking accuracy, screening efficiency, and docking speed of GAsDock were evaluated by the docking results of thymidine kinase (TK) and HIV-1 reverse transcriptase (RT) enzyme with 10 available inhibitors of each protein and 990 randomly selected ligands. Nine of the ten known inhibitors of TK were accurately docked into the protein active site, the root-mean-square deviation (RMSD) values between the docking and X-ray crystal structures are less than 1.7Angstrom; binding poses (conformation and orientation) of 9 of the 10 known inhibitors of RT were reproduced by GAsDock with RMSD values less than 2.0Angstrom. The docking time is approximately in proportion to the number of rotatable bonds of ligands; GAsDock can finish a docking simulation within 60s for a ligand with no more than 20 rotatable bonds. Results indicate that GAsDock is an accurate and remarkably faster docking program in comparison with other docking programs, which is applausive in the application of virtual screening. (C) 2004 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4671 / 4676
页数:6
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