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Efficient similarity retrieval of protein binding sites based on histogram comparison

dc.contributor.authorFober, Thomas
dc.contributor.authorMernberger, Marco
dc.contributor.authorKlebe, Gerhard
dc.contributor.authorHüllermeier, Eyke
dc.contributor.editorSchomburg, Dietmar
dc.contributor.editorGrote, Andreas
dc.date.accessioned2019-01-17T10:57:30Z
dc.date.available2019-01-17T10:57:30Z
dc.date.issued2010
dc.description.abstractWe propose a method for comparing protein structures or, more specifically, protein binding sites using a histogram-based representation that captures important geometrical and physico-chemical properties. In comparison to hitherto existing approaches in structural bioinformatics, especially methods from graph theory and computational geometry, our approach is computationally much more efficient. Moreover, despite its simplicity, it appears to capture and recover functional similarities surprisingly well.en
dc.identifier.isbn978-3-88579-267-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19672
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics 2010
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-173
dc.titleEfficient similarity retrieval of protein binding sites based on histogram comparisonen
dc.typeText/Conference Paper
gi.citation.endPage59
gi.citation.publisherPlaceBonn
gi.citation.startPage51
gi.conference.dateSeptember 20-22, 2010
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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