Application of ACO algorithm in protein structure prediction

被引：0
|
作者：
Tang, Hao-Xuan [1 ]
Qu, Yi [1 ]
机构：
[1] School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
来源：
Journal of Harbin Institute of Technology (New Series) | 2009年 / 16卷 / 01期
关键词：
Crystal lattices - Artificial intelligence - Bioinformatics - Forecasting;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The hydrophobic-polar (HP) lattice model is an important simplified model for studying protein folding. In this paper, we present an improved ACO algorithm for the protein structure prediction. In the algorithm, the lone ethod is applied to deal with the infeasible structures, and the oint mutation and reconstruction ethod is applied in local search phase. The empirical results show that the presented method is feasible and effective to solve the problem of protein structure prediction, and notable improvements in CPU time are obtained.
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页码：111 / 114
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