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Modularization of protein interaction networks by incorporating gene ontology annotations

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Recent computational analyses of protein interaction networks have attempted to understand cellular organizations, processes and functions. However, they have encountered difficulties due to unreliable interaction data and the complexity of the networks. In this paper, we propose the integration of protein interaction networks with Gene Ontology annotations for assessing the reliability of current protein-protein interaction data. The interaction reliability can be used for building weighted protein interaction networks. We apply an information flowbased modularization algorithm to the weighted protein interaction networks. Our experimental results show that the interaction reliability between two proteins is positively correlated to the likelihood of functional and locational associations. We finally demonstrate that our approach identifies accurate modules in the protein interaction networks with high statistical confidence with respect to biological function and cellular localization. Moreover, this algorithm outperforms our previous method [5] integrating with genetic co-expressional profiles.

Original languageEnglish
Title of host publication2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB 2007
PublisherIEEE Computer Society
Pages233-238
Number of pages6
ISBN (Print)1424407109, 9781424407101
DOIs
StatePublished - 2007
Event4th IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2007, Part of the 1st IEEE Symposium Series on Computational Intelligence, SSCI 2007 - Honolulu, HI, United States
Duration: Apr 1 2007Apr 5 2007

Publication series

Name2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, CIBCB 2007

Conference

Conference4th IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2007, Part of the 1st IEEE Symposium Series on Computational Intelligence, SSCI 2007
Country/TerritoryUnited States
CityHonolulu, HI
Period04/1/0704/5/07

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