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基于打分矩阵的多类蛋白质折叠子的预测
引用本文:王春连,张晓东. 基于打分矩阵的多类蛋白质折叠子的预测[J]. 生物信息学, 2011, 9(1): 42-45,49. DOI: 10.3969/j.issn.1672-5565.2011.01.011
作者姓名:王春连  张晓东
作者单位:乌兰察布职业学院,内蒙古,乌兰察布,012000
摘    要:依据蛋白质折叠子中氨基酸保守性,以氨基酸、氨基酸的极性、氨基酸的电性以及氨基酸的亲—疏水性为参数,从蛋白质的氨基酸序列出发,采用"一对多"的分类策略,通过构建打分矩阵和选取氨基酸序列模式片断,利用5种相似性打分函数对27类折叠子进行识别,最好的预测精度达到83.46%。结果表明,打分矩阵是预测多类蛋白质折叠子有效的方法。

关 键 词:打分矩阵  相似性打分函数  蛋白质折叠子  氨基酸的保守指数

Protein Fold Pattern Recognition using Scoring Matrix
WANG Chun-lian,ZHANG Xiao-dong. Protein Fold Pattern Recognition using Scoring Matrix[J]. Chinese Journal of Bioinformatics, 2011, 9(1): 42-45,49. DOI: 10.3969/j.issn.1672-5565.2011.01.011
Authors:WANG Chun-lian  ZHANG Xiao-dong
Affiliation:WANG Chun-lian,ZHANG Xiao-dong ( Ulanqab Vocational College,Inner Mongolia Ulanqab 012000,China)
Abstract:Based on the amino acid sequence conservation of Protein Fold Pattern.Protein fold pattern are predicted using amino acid composition and Polarity of amino acid,Friend or stranger river character of amino acid and Electric properties of amino acid .Moreover,using one-versus-others strategy and constructing position weight matrix and sequence pattern segment,Protein Fold Pattern is recognized by five similarity scoring functions.The best prediction accuracy can reach 83.46%.The results show that the scoring ...
Keywords:Scoring matrix  Similarity scoring function  Protein fold pattern  Amino acid sequence conservation  
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