Identifying Hubs in Protein Interaction Networks

被引:135
|
作者
Vallabhajosyula, Ravishankar R.
Chakravarti, Deboki
Lutfeali, Samina
Ray, Animesh
Raval, Alpan
机构
[1] Keck Graduate Institute of Applied Life Sciences, Claremont, CA
[2] California Institute of Technology, Pasadena, CA
[3] University of Chicago, Chicago, IL
[4] School of Mathematical Sciences, Claremont Graduate University, Claremont, CA
来源
PLOS ONE | 2009年 / 4卷 / 04期
基金
美国国家科学基金会;
关键词
D O I
10.1371/journal.pone.0005344
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: In spite of the scale-free degree distribution that characterizes most protein interaction networks (PINs), it is common to define an ad hoc degree scale that defines "hub'' proteins having special topological and functional significance. This raises the concern that some conclusions on the functional significance of proteins based on network properties may not be robust. Methodology: In this paper we present three objective methods to define hub proteins in PINs: one is a purely topological method and two others are based on gene expression and function. By applying these methods to four distinct PINs, we examine the extent of agreement among these methods and implications of these results on network construction. Conclusions: We find that the methods agree well for networks that contain a balance between error-free and unbiased interactions, indicating that the hub concept is meaningful for such networks.
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页数:10
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