A genetic algorithm based method for molecular docking

被引：0
|
作者：
Li, CL [1 ]
Sun, Y
Long, DY
Wang, XC
机构：
[1] Changchun Univ, Sch Comp Sci & Technol, Changchun 130022, Peoples R China
[2] Changchun Univ, Inst Special Educ, Changchun 130022, Peoples R China
[3] Dalian Univ Technol, State Key Lab Anal Ind Equipment, Dalian 116023, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS | 2005年 / 3611卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The essential of Molecular docking problem is to find the optimum conformation of ligand bound with the receptor at its active site. Most cases the optimum conformation has the lowest interaction energy. So the molecular docking problem can be treated as a minimization problem. An entropy-based evolution model for molecular docking is proposed in this paper. The model of molecular docking is based on a multi-population genetic algorithm. Two molecular docking processes are investigated to demonstrate the efficiency of the proposed model.
引用
收藏
页码：1159 / 1163
页数：5
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