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用二次判别方法识别蛋白质β-发夹模体 被引量：2

RECOGNITION OF β-HAIRPIN MOTIFS IN PROTEINS BY USING QUADRATIC DISCRIMINANT
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摘要 基于氨基酸序列,用打分值、离散增量、自相关函数值和距离值来表示β-发夹模体信息,通过二次判别方法对上述信息进行融合,预测数据库ArchDB40和EVA中的β-发夹模体。文章使用的β-发夹模体包含的loop长为2～10个氨基酸,当序列模式长为17个氨基酸时,对两个数据库中β-发夹5交叉检验预测的总精度分别达到83.1%和80.7%,相关系数达到0.59和0.61,好于前人的预测结果。 Based on amino acid sequence, by using score of matrix, increment of diversity, value of auto-correlation information and distance to express the information of β-hairpin motifs, a quadratic discriminant method for predicting β-hairpin motifs in ArchDB40 and EVA database was proposed. In this paper, predicting B-hairpin motifs with the loop length of 2-10 amino acids, when fixed-length pattern is 17 amino acids, the overall accuracy of prediction are 83.1% and 80.7% and Matthew＇s correlation coefficients are 0.59 and 0.61 for the above two database using 5-fold cross-validation, respectively. Predicted results are better than previous results.
作者 王春连 胡秀珍
机构地区 内蒙古工业大学理学院
出处 《生物物理学报》 CAS CSCD 北大核心 2009年第4期275-281,共7页 Acta Biophysica Sinica
基金 国家自然科学基金(30960090) 内蒙古自治区高等学校科学研究项目(NJZY08059)~~
关键词 Β-发夹模体 打分函数 离散增量 自相关函数 二次判别 β-hairpin motif Scoring function Increment of diversity Auto-correlation function Quadratic discriminant
分类号 Q61 [生物学—生物物理学]
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参考文献17

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共引文献8

同被引文献18

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生物物理学报
2009年 第4期

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