Identifying Hubs in Protein Interaction Networks
Author(s) -
Ravishankar R. Vallabhajosyula,
Deboki Chakravarti,
Samina Lutfeali,
Animesh Ray,
Alpan Raval
Publication year - 2009
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0005344
Subject(s) - protein interaction networks , degree distribution , computer science , function (biology) , scale (ratio) , computational biology , degree (music) , interaction network , topology (electrical circuits) , scale free network , expression (computer science) , complex network , biology , protein–protein interaction , mathematics , gene , genetics , physics , combinatorics , world wide web , acoustics , programming language , quantum mechanics
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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