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High-Precision Function Prediction using Conserved Interactions

dc.contributor.authorJaeger, S.
dc.contributor.authorLeser, U.
dc.contributor.editorFalter, Claudia
dc.contributor.editorSchliep, Alexander
dc.contributor.editorSelbig, Joachim
dc.contributor.editorVingron, Martin
dc.contributor.editorWalther, Dirk
dc.date.accessioned2019-05-15T08:32:29Z
dc.date.available2019-05-15T08:32:29Z
dc.date.issued2007
dc.description.abstractThe recent availability of large data sets of protein- protein-interactions (PPIs) from various species offers new opportunities for functional genomics and proteomics. We describe a method for exploiting conserved and connected subgraphs (CCSs) in the PPI networks of multiple species for the prediction of protein function. Structural conservation is combined with functional conservation using a GeneOntology-based scoring scheme. We applied our method to the PPI networks of five species, i.e., E. coli, D. melanogaster, M. musculus, H. sapiens and S. cerevisiae. We detected surprisingly large CCSs for groups of thee species but not beyond. A manual analysis of the biological coherence of exemplary subgraphs strongly supports a close relationship between structural and functional conservation. Based on this observation, we devised an algorithm for function prediction based on CCS. Using our method, for instance, we predict new functional annotations for human based on mouse proteins with a precision of 70%.en
dc.identifier.isbn978-3-88579-209-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/22365
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofGerman conference on bioinformatics – GCB 2007
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-115
dc.titleHigh-Precision Function Prediction using Conserved Interactionsen
dc.typeText/Conference Paper
gi.citation.endPage162
gi.citation.publisherPlaceBonn
gi.citation.startPage146
gi.conference.dateSeptember 26-28, 2007, Potsdam,
gi.conference.locationPotsdam
gi.conference.sessiontitleRegular Research Papers

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