Research on Particle Swarm Optimization for Protein Structure Prediction

被引：1
|
作者：
Wang, Shigang [1 ]
Wang, Fengjuan [1 ]
Jiang, Shufeng [1 ]
Zhang, Hongjun [1 ]
机构：
[1] Qiqihar Univ, Sch Mech Engn, Qiqihar 161006, Peoples R China
来源：
ADVANCED DESIGNS AND RESEARCHES FOR MANUFACTURING, PTS 1-3 | 2013年 / 605-607卷
关键词：
Theory model of protein folding; particle swarm optimization; protein folding prediction;
D O I：
10.4028/www.scientific.net/AMR.605-607.2497
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Protein structure prediction occupies an important position on bioinformatics science. In this paper, basic theory of particle swarm optimization and some theory models of protein folding study are introduced. Using modified particle swarm optimization, the protein structure prediction is predicted, and good performance of algorithm is verified by testing results of Fibonacci sequence. In the end, the future on protein structure prediction solving by particle swarm optimization is prospected.
引用
收藏
页码：2497 / 2501
页数：5
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