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Protein Complex Identification by Integrating Protein-Protein Interaction Evidence from Multiple Sources

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dc.contributor.authorXu, Boen
dc.contributor.authorLin, Hongfeien
dc.contributor.authorChen, Yangen
dc.contributor.authorYang, Zhihaoen
dc.contributor.authorLiu, Hongfangen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2018-10-11T13:21:55Zen
dc.date.available2018-10-11T13:21:55Zen
dc.date.issued2013-12-27en
dc.description.abstractBackground Understanding protein complexes is important for understanding the science of cellular organization and function. Many computational methods have been developed to identify protein complexes from experimentally obtained protein-protein interaction (PPI) networks. However, interaction information obtained experimentally can be unreliable and incomplete. Reconstructing these PPI networks with PPI evidences from other sources can improve protein complex identification. Results We combined PPI information from 6 different sources and obtained a reconstructed PPI network for yeast through machine learning. Some popular protein complex identification methods were then applied to detect yeast protein complexes using the new PPI networks. Our evaluation indicates that protein complex identification algorithms using the reconstructed PPI network significantly outperform ones on experimentally verified PPI networks. Conclusions We conclude that incorporating PPI information from other sources can improve the effectiveness of protein complex identification.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0083841en
dc.identifier.eissn1932-6203en
dc.identifier.issue12en
dc.identifier.othere83841en
dc.identifier.pmid24386289en
dc.identifier.urihttp://hdl.handle.net/10919/85349en
dc.identifier.volume8en
dc.language.isoenen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleProtein Complex Identification by Integrating Protein-Protein Interaction Evidence from Multiple Sourcesen
dc.title.serialPLOS ONEen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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