|Table of Contents|

Soybean Protein Secondary Structure Prediction Based on Hybrid Parallel Genetic Algorithm(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2009年02期
Page:
200-203,209
Research Field:
Publishing date:

Info

Title:
Soybean Protein Secondary Structure Prediction Based on Hybrid Parallel Genetic Algorithm
Author(s):
MENG Xiang-yan1; MENG Jun2; GE Jia-qi1
1College of Science，Northeast Agricultural University；Harbin 150030，Heilongjiang；
2National Research Center of Soybean Engineering and Techniques of China；Harbin 150086，Heilongjiang，China
Keywords:
Soybean protein; Parallel genetic algorithm; Protein secondary structure prediction; Hydrophobic sequence
PACS:
Q518.1
DOI:
10.11861/j.issn.1000-9841.2009.02.0200
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 algorithms integrated and improved，the computational complexity is decreased with one magnitude order，and the average prediction accuracy is about 74%.

References:

[1]杨文钰，雍太文，任万军，等.发展套作大豆，振兴大豆产业[J].大豆科学，2008，27(1):1-7.(Yang W Y，Yong T W，Ren W J，et al.Develop relay-planting soybean revitalize soybean industry[J].Soybean Science，2008，27(1):1-7.)

[2]Huang H C．An evolutionary approach to finding schemas for 3-class protein secondary structure prediction[J].Proceedings of the Computational Systems Bioinformatics，2003，488-491.
[3]Chu Y W，Sun C T．Regularity of secondary protein structures:A genetic algorithm approach[C]．Proceedings of the 5thWorld Congress on Intelligent Control and Automation，2004:2104-2108.
[4]邹先霞，陈孝卫，许龙飞.基于关联规则与遗传算法的蛋白质二级结构预测[J]．计算机工程与应用，2006，42(15):152-156.（Zou X X，Chen X W，Xu L F.Protein secondary structure prediction based on association rules and genetic algorithm[J].Computer Engineering and Applications，2006，42(15):152-156.）
[5]张宁，张涛.蛋白质二级结构预测样本集数据库的设计与实现[J].生物信息学，2006，4(4):163-166.（Zhang N，Zhang T.Design and implementation of the database of data sets for prediction of protein secondary structures[J].China Journal of Bioinformatics，2006，4(4):163-166.）
[6]Chu Y W，Sun C T．A hybrid genetic algorithm approach for protein secondary structure[C]．Proceedings of the 6thWorld Congress on Intelligent Control and Automation，2006：3320-3324.
[7]杜耀华，王正志，倪青山.基于滑动窗口的原核转录起始点计算定位方法[J].生物物理学报，2006，22（5）：360-366.（Du Y H ，Wang Z Z，Ni Q S.Computational location of transcription start sites in prokaryotic genome based on sliding window[J].Acta Biophysica Sinica，2006，22(5):360-366.）
[8]黄敏，沈辉，肖奕.不同类蛋白质氨基酸疏水序列周期性[J].生物物理学报，2000，16(4):755-760.（Huang M ，Shen H，Xiao Y.Correlation properties of protein sequences of different types[J].Acta Biophysica Sinica，2000，16(4):755-760.）

Memo

Memo:
-
Last Update: 2014-10-03