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Combining secondary structure element alignment and profile-profile alignment for fold recognition

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dc.contributor.authorGewehr, Jan E.
dc.contributor.authorÖhsen, Niklas von
dc.contributor.authorZimmer, Ralf
dc.contributor.editorGiegerich, Robert
dc.contributor.editorStoye, Jens
dc.date.accessioned2019-10-11T11:32:37Z
dc.date.available2019-10-11T11:32:37Z
dc.date.issued2004
dc.description.abstractOne of the most intensely studied problems of bioinformatics is the prediction of a protein structure from an amino acid sequence. In fold recognition, one reduces this problem to assigning a protein of unknown structure to one of the known fold classes as defined in the SCOP or CATH classifications. Here, we combine two alignment methods, secondary structure element alignment and log average profile- profile alignment that have been proven to perform well on this task. Our results show that the combination yields remarkably better fold recognition accuracy on well- known benchmark sets obtained from the literature. Especially on a difficult set built by McGuffin and Jones this new approach significantly outperforms other recently proposed fold recognition methods.en
dc.identifier.isbn3-88579-382-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28658
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics 2004, GCB 2004
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-53
dc.titleCombining secondary structure element alignment and profile-profile alignment for fold recognitionen
dc.typeText/Conference Paper
gi.citation.endPage148
gi.citation.publisherPlaceBonn
gi.citation.startPage141
gi.conference.dateOctober 4-6, 2004
gi.conference.locationBielefeld
gi.conference.sessiontitleRegular Research Papers

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P053 - GCB 2004 - German Conference on Bioinformatics