|本期目录/Table of Contents|

[1]姜 雪,于 巍.基于优化特征参量的蛋白质βαβ模体识别分析[J].江苏农业科学,2015,43(02):20-23.
　Jiang Xue,et al.Recognition of βαβ motifs in proteins based on optimized characteristic parameters[J].Jiangsu Agricultural Sciences,2015,43(02):20-23.
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基于优化特征参量的蛋白质βαβ模体识别分析(PDF)
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《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第43卷
期数:
2015年02期
页码:
20-23
栏目:
生物技术
出版日期:
2015-02-25

文章信息/Info

Title:
Recognition of βαβ motifs in proteins based on optimized characteristic parameters
作者:
姜 雪;  于 巍
沈阳工业大学辽阳校区基础部，辽宁辽阳 111003
Author(s):
Jiang Xue; et al
关键词:
蛋白质; βαβ模体; 离散增量; 优化的参量; 优化位点氨基酸; 识别精度
Keywords:
-
分类号:
Q51
DOI:
-
文献标志码:
A
摘要:
选取了来自1 423个相似性小于33%的蛋白质序列的1 459个βαβ模体和2 419个非βαβ模体，通过分析模体中各二级结构单元的分布情况，确定固定序列模式长。基于优化的氨基酸信息，利用离散增量算法识别βαβ模体。运用10-fold交叉检验和独立检验方法对算法进行检验，识别总精度分别达到79.4%和78.6%。
Abstract:
-

参考文献/References:

［1］ Gurunath R，Beena T K，Adiga P R et al. Enhancing peptide antigenicity by helix stabilization［J］. FEBS Lett，1995，361(2/3)：176-178.
［2］Sun Z R，Jing B.Pattems and conformations of commonly occunring super-secondary structures(basic motifs) in protein

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备注/Memo

备注/Memo:
收稿日期：2014-04-09
基金项目：辽宁省教育厅教学改革立项(编号：2012411)。
作者简介：姜 雪(1978—)，女，黑龙江明水人，硕士，讲师，主要从事生物信息学研究。E-mail：shuidi780829@163.com。
更新日期/Last Update: 2015-02-25