Show simple item record

dc.contributor.authorKottha, Samatha
dc.contributor.authorSchroeder, Michael
dc.contributor.editorHuson, Daniel
dc.contributor.editorKohlbacher, Oliver
dc.contributor.editorLupas, Andrei
dc.contributor.editorNieselt, Kay
dc.contributor.editorZell, Andreas
dc.date.accessioned2019-08-12T13:06:20Z
dc.date.available2019-08-12T13:06:20Z
dc.date.issued2006
dc.identifier.isbn978-3-88579-177-5
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/24215
dc.description.abstractCurrently much research is devoted to the characterization and classification of transient and permanent protein-protein interactions. From the literature, we take data sets consisting of 161 permanent (65 homodimers, 96 heterodimers) and 242 transient interactions. We collect over 300 interface attributes relating to size, physiochemical properties, interaction propensities, and secondary structure elements. Our major discovery is a surprisingly simple relationship not yet reported in the literature: interactions with the same molecular weight or very big interfaces are per- manent and otherwise transient. We train a support vector machine and achieve the following results: Molecular weight difference alone achieves 80% success rate. To- gether with the size of the buried surface the success rate improves to 89%. Adding water at the interface and the number of hydrophobic contacts we achieve a success rate of 97%.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-83
dc.titleClassifying permanent and transient protein interactionsen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages54-63
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationTübingen
mci.conference.dateSeptember 19-22, 2006


Files in this item

Thumbnail

Show simple item record