Fast docking of drug molecules to their receptor

被引:1
|
作者
Chen, JQ [1 ]
Hanlin, C
机构
[1] Chinese Acad Med Sci, Inst Mat Med, Beijing 100050, Peoples R China
[2] Peking Union Med Coll, Beijing 100050, Peoples R China
来源
CHINESE SCIENCE BULLETIN | 1999年 / 44卷 / 10期
基金
中国国家自然科学基金;
关键词
annealing evolution; simulated annealing; molecular docking; inhibitor; genetic algorithm;
D O I
10.1007/BF02885061
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
AEDock based on AutoDock2.4 is developed with annealing evolution algorithm (AEA) in place of simulated annealing algorithm (SA) for supermolecular conformation searching. Because AEA takes advantage of both the genetic algorithm (GPI) and the simulated annealing algorithm, the results of AEDock show that AEA can predict the binding conformations of ligands with up to 10 rotatable bonds to a rigid macromolecular target. The case of 1 hvr is only one of six Gases where SA in AutoDock 2.4 failed to find an energy less than that of the crystal. it is used here to compare the performance of SA with AEA. The results of comparison show that fewer states are needed in AEA than in SA, but the success rate of AEA is much higher.
引用
收藏
页码:904 / 908
页数:5
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