ProRank+: A method for detecting protein complexes in protein interaction networks

Eileen Marie Hanna, Nazar Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The course of developing effective medical treatments is typically based on the identification of diseasetriggering protein complexes. In this paper, we present ProRank+, an effective method for detecting protein complexes in protein interaction networks. By assuming that complexes may overlap, the method uses a ranking algorithm to order proteins based on their importance in the network. In addition, a novel merging procedure is introduced to refine the predicted complexes in terms of their members. The experimental studies and results showed that ProRank+ outperforms several state-of-the-art methods in terms of the number of correctly-detected protein complexes using numerous quality measures.

Original languageEnglish
Title of host publicationBIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
PublisherSciTePress
Pages239-244
Number of pages6
ISBN (Print)9789897580123
DOIs
Publication statusPublished - 2014
Event5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014 - Angers, Loire Valley, France
Duration: Mar 3 2014Mar 6 2014

Publication series

NameBIOINFORMATICS 2014 - 5th Int. Conf. on Bioinformatics Models, Methods and Algorithms, Proceedings; Part of 7th Int. Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014

Other

Other5th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2014 - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014
Country/TerritoryFrance
CityAngers, Loire Valley
Period3/3/143/6/14

Keywords

  • Essential Protein
  • Google PageRank Algorithm
  • PPI
  • ProRank Algorithm
  • Protein Complex

ASJC Scopus subject areas

  • Biomedical Engineering
  • Modelling and Simulation

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