首页 | 本学科首页   官方微博 | 高级检索  
     


Identifying Hubs in Protein Interaction Networks
Authors:Ravishankar R. Vallabhajosyula  Deboki Chakravarti  Samina Lutfeali  Animesh Ray  Alpan Raval
Affiliation:1. Keck Graduate Institute of Applied Life Sciences, Claremont, California, United States of America.; 2. California Institute of Technology, Pasadena, California, United States of America.; 3. University of Chicago, Chicago, Illinois, United States of America.; 4. School of Mathematical Sciences, Claremont Graduate University, Claremont, California, United States of America.;Fondazione Telethon, Italy
Abstract:

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.
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号