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基于混合并行遗传算法的大豆蛋白质二级结构预测
引用本文:孟翔燕,孟军,葛家麒. 基于混合并行遗传算法的大豆蛋白质二级结构预测[J]. 大豆科学, 2009, 28(2)
作者姓名:孟翔燕  孟军  葛家麒
作者单位:1. 东北农业大学理学院,黑龙江,哈尔滨,150030
2. 国家大豆工程技术中心,黑龙江,哈尔滨,150030
基金项目:东北农业人学科技创新资助项目 
摘    要:大豆蛋白质是人类生活不可或缺的物质,对大豆蛋白质二级结构预测是能够准确预测蛋白质分子三维空间结构功能的关键步骤.将聚类分析、并行处理技术和遗传算法相结合,提出基于混合并行遗传箅法(HPGA)的蛋白质二级结构预测方法,充分考虑蛋白质序列两端氢基酸对中间氨基酸结构的影响,蛋白质疏水性对二级结构的影响.在整合、改进前人算法的基础上使得计算复杂度降低1个数量级,使得预测准确率达到74%左右.

关 键 词:大豆篮白质  并行遗传算法  蛋白质  二级结构预测  疏水序列

Soybean Protein Secondary Structure Prediction Based on Hybrid Parallel Genetic Algorithm
MENG Xiang-yan,MENG Jun,GE Jia-qi. Soybean Protein Secondary Structure Prediction Based on Hybrid Parallel Genetic Algorithm[J]. Soybean Science, 2009, 28(2)
Authors:MENG Xiang-yan  MENG Jun  GE Jia-qi
Affiliation:MENG Xiang-yan1,MENG Jun2,GE Jia-qi1 (1College of Science,Northeast Agricultural University,Harbin 150030,Heilongjiang,2National Research Center of Soybean Engineering , Techniques of China,Harbin 150086,China)
Abstract:Soybean protein is indispensable material in human life.Soybean protein secondary structure prediction is the key step of protein 3D structure and function prediction.This paper combined cluster analysis and parallel technique with genetic algorithm,then proposed protein secondary structure prediction based on hybrid parallel genetic algorithm,in which effects on the behavior of any amino acid in a protein sequence caused by the adjacent amino acid and hydrophobe were considered.On the basis of the former a...
Keywords:Soybean protein  Parallel genetic algorithm  Protein secondary structure prediction  Hydrophobic sequence  
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