基于分组重量编码的蛋白质同源寡聚体分类研究
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Classification of Protein Hom-Oligomers with Encodingon the Basis of Grouped Weight for Protein Sequence
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    基于一种新的特征提取方法——分组重量编码(Encoding on the basis of Grouped Weight,简记为EBGW),采用组分耦合算法作为分类器,从蛋白质一级序列出发对四类同源寡聚体蛋白进行分类研究。结果表明,在Jackknife检验下,基于分组重量编码的分类方法总体分类精度达到70.92%,比基于氨基酸组成和加权伪氨基酸成分特征提取方法分别提高20.28和7.53个百分点,说明分组重量编码对于蛋白质同源寡聚体分类是一种高效的特征提取方法。

    Abstract:

    The homo-dimer, homo-trimer, homo-tetramer, homo-hexamer of proteins were classified with a new encoding method—encoding on the basis of grouped weight (EBGW) and component-couple algorithm. It was found that the overall classification accuracy by Jackknife test was 70.92%, which was 20.28 and 7.53 percentile higher than that of the amino acid composition and that of the weight pseudo-amino acid composition method with the same classifying algorithm on the same data set. The results indicate that EBGW method has reached a satisfying performance despite its simplicity.

    参考文献
    相似文献
    引证文献
引用本文

张振慧,王正华,王勇献.基于分组重量编码的蛋白质同源寡聚体分类研究[J].国防科技大学学报,2007,29(2):91-93.
ZHANG Zhenhui, WANG Zhenghua, WANG Yongxian. Classification of Protein Hom-Oligomers with Encodingon the Basis of Grouped Weight for Protein Sequence[J]. Journal of National University of Defense Technology,2007,29(2):91-93.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2006-11-05
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2013-02-28
  • 出版日期:
文章二维码