Published April 28, 2009 | Version v1
Journal article Open

Identifying Hubs in Protein Interaction Networks

  • 1. Keck Graduate Institute of Applied Life Sciences
  • 2. California Institute of Technology
  • 3. University of Chicago

Description

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.

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.

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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Additional details

Identifiers

DOI
10.1371/journal.pone.0005344
Other
oai:uchicago.tind.io:8240

Funding

National Science Foundation
EMT 0523643
National Science Foundation
FIBR 0527023

UChicago Information

Division(s)
Social Sciences Division
Department(s)
Kenneth C. Griffin Department of Economics