计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (8): 20-22.

• 博士论坛 • 上一篇    下一篇

基于复杂网络理论的PPI网络拓扑分析

李 敏,陈建二,王建新   

  1. 中南大学 信息科学与工程学院,长沙 410083
  • 收稿日期:2007-11-12 修回日期:2007-12-24 出版日期:2008-03-11 发布日期:2008-03-11
  • 通讯作者: 李 敏

Analysis of PPI network topology based on complex network theory

LI Min,CHEN Jian-er,WANG Jian-xin   

  1. School of Information Science and Engineering,Central South University,Changsha 410083,China
  • Received:2007-11-12 Revised:2007-12-24 Online:2008-03-11 Published:2008-03-11
  • Contact: LI Min

摘要: 蛋白质相互作用在生命活动中起核心作用,由蛋白质相互作用构成的PPI网络的拓扑特性分析是后基因组时代最重要的研究课题之一。应用复杂网络理论对DIP数据库中7个物种的8个PPI网络的拓扑结构进行分析与研究。分析结果表明,这些PPI网络具有较小的平均路径长度和较高的聚集系数,其度分布服从幂规律,即pk)=ak-r,其中r大于1小于3,a近似等于1±0.5,表现出典型的无标度性,并具有高的异质性。其中平均度大于3.5的5个PPI网络对随机删除不超过10%的顶点都具有很好的鲁棒性,但对有选择的删除2%的高度顶点就开始表现出极弱的抗攻击性。

Abstract: Protein-protein interactions play an important role in life.Analysis of the topology characters of PPI network composed of protein-protein interactions is one of the most important issues in the post-genomic era.This paper analyzes the topologies of 8 PPI networks of 7 species in DIP database by using complex network theory.Analysis shows that these PPI networks have small average path length and large clustering coefficients.The degree distributions of these networks follow a power law as given by pk)=ak-r(1<r<3,a≈1±0.5).All these PPI networks are scale-free and idiosyncratic.All the PPI networks with average degree larger than 3.5 are robust against the random removal of not more than 10% nodes,but are vulnerable to the removal of 2% nodes of high degree.