中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved adaptive genetic algorithm for protein-ligand docking

文献类型:期刊论文

作者Kang, Ling2,3; Li, Honglin1,2; Jiang, Hualiang1; Wang, Xicheng2
刊名JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
出版日期2009-01
卷号23期号:1页码:1-12
关键词Genetic algorithms Information entropy Molecular docking Optimization design Penalty function Self-adaptation
ISSN号0920-654X
DOI10.1007/s10822-008-9232-5
文献子类Article
英文摘要A new optimization model of molecular docking is proposed, and a fast flexible docking method based on an improved adaptive genetic algorithm is developed in this paper. The algorithm takes some advanced techniques, such as multi-population genetic strategy, entropy-based searching technique with self-adaptation and the quasi-exact penalty. A new iteration scheme in conjunction with above techniques is employed to speed up the optimization process and to ensure very rapid and steady convergence. The docking accuracy and efficiency of the method are evaluated by docking results from GOLD test data set, which contains 134 protein-ligand complexes. In over 66.2% of the complexes, the docked pose was within 2.0 A root-mean-square deviation (RMSD) of the X-ray structure. Docking time is approximately in proportion to the number of the rotatable bonds of ligands.
WOS关键词INCREMENTAL CONSTRUCTION ALGORITHM ; MOLECULAR DOCKING ; FLEXIBLE DOCKING ; AUTOMATED DOCKING ; SEARCH ; DATABASES ; AUTODOCK
资助项目National Natural Science Foundation[10772042] ; Special Funds for Major State Basic Research Project[2004CB518901] ; High Science and Technology Project[2006AA01A124]
WOS研究方向Biochemistry & Molecular Biology ; Biophysics ; Computer Science
语种英语
WOS记录号WOS:000261580600001
出版者SPRINGER
源URL[http://119.78.100.183/handle/2S10ELR8/279394]  
专题药物发现与设计中心
中科院受体结构与功能重点实验室
新药研究国家重点实验室
通讯作者Wang, Xicheng
作者单位1.Chinese Acad Sci, Shanghai Inst Mat Med, Drug Discovery & Design Ctr, State Key Lab Drug Res, Shanghai 201203, Peoples R China;
2.Dalian Univ Technol, Dept Engn Mech, State Key Lab Struct Anal Ind Equipment, Dalian 116023, Peoples R China;
3.Dalian Univ Technol, Sch Elect & Informat Engn, Dept Comp Sci & Engn, Dalian 116023, Peoples R China
推荐引用方式
GB/T 7714
Kang, Ling,Li, Honglin,Jiang, Hualiang,et al. An improved adaptive genetic algorithm for protein-ligand docking[J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN,2009,23(1):1-12.
APA Kang, Ling,Li, Honglin,Jiang, Hualiang,&Wang, Xicheng.(2009).An improved adaptive genetic algorithm for protein-ligand docking.JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN,23(1),1-12.
MLA Kang, Ling,et al."An improved adaptive genetic algorithm for protein-ligand docking".JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN 23.1(2009):1-12.

入库方式: OAI收割

来源:上海药物研究所

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