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Identification of functional modules in a PPI network by clique percolation clustering

Paper ID Volume ID Publish Year Pages File Format Full-Text
15404 1410 2006 7 PDF Available
Title
Identification of functional modules in a PPI network by clique percolation clustering
Abstract

Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochemical processes in cells. Modular architecture which encompasses groups of genes/proteins involved in elementary biological functional units is a basic form of the organization of interacting proteins. Here we apply a graph clustering algorithm based on clique percolation clustering to detect overlapping network modules of a protein–protein interaction (PPI) network. Our analysis of the yeast Sacchromyces cerevisiae suggests that most of the detected modules correspond to one or more experimentally functional modules and half of these annotated modules match well with experimentally determined protein complexes. Our method of analysis can of course be applied to protein–protein interaction data for any species and even other biological networks.

Keywords
Protein–protein Interaction (PPI) network; Network clustering; Protein complexes; Functional modules; Clique percolation clustering
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Identification of functional modules in a PPI network by clique percolation clustering
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 30, Issue 6, December 2006, Pages 445–451
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us