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dc.contributor.authorTeichert, Florian-
dc.contributor.authorBastolla, Ugo-
dc.contributor.authorPorto, Markus-
dc.date.accessioned2008-03-27T10:18:22Z-
dc.date.available2008-03-27T10:18:22Z-
dc.date.issued2007-10-31-
dc.identifier.citationBMC Bioinformatics 2007, 8:425en_US
dc.identifier.issn1471-2105-
dc.identifier.urihttp://hdl.handle.net/10261/3329-
dc.descriptionThis article is available from: http://www.biomedcentral.com/1471-2105/8/425en_US
dc.descriptionConsultar los ficheros adjuntos: http://www.biomedcentral.com/1471-2105/8/425/additional/-
dc.description.abstract[Background] The task of computing highly accurate structural alignments of proteins in very short computation time is still challenging. This is partly due to the complexity of protein structures. Therefore, instead of manipulating coordinates directly, matrices of inter-atomic distances, sets of vectors between protein backbone atoms, and other reduced representations are used. These decrease the effort of comparing large sets of coordinates, but protein structural alignment still remains computationally expensive.en_US
dc.description.abstract[Results] We represent the topology of a protein structure through a structural profile that expresses the global effective connectivity of each residue. We have shown recently that this representation allows explicitly expressing the relationship between protein structure and protein sequence. Based on this very condensed vectorial representation, we develop a structural alignment framework that recognizes structural similarities with accuracy comparable to established alignment tools. Furthermore, our algorithm has favourable scaling of computation time with chain length. Since the algorithm is independent of the details of the structural representation, our framework can be applied to sequence-to-sequence and sequence-to-structure comparison within the same setup, and it is therefore more general than other existing tools.en_US
dc.description.sponsorshipFT and MP gratefully acknowledge generous financial support from the Deutsche Forschungsgemeinschaft via project PO 1025/1-1 and from the Deutscher Akademischer Austauschdienst via project D/06/12858. UB acknowledges financial support from the Spanish Education and Science Ministry through the Ramón y Cajal program and the grant no. FIS2004-05073.en_US
dc.format.extent2208940 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherBioMed Centralen_US
dc.relation.isversionofPublisher’s version-
dc.rightsopenAccessen_US
dc.titleSABERTOOTH: protein structural alignment based on a vectorial structure representationen_US
dc.typeartículoen_US
dc.identifier.doi10.1186/1471-2105-8-425-
dc.description.peerreviewedPeer revieweden_US
dc.contributor.funderGerman Research Foundation-
dc.contributor.funderGerman Academic Exchange Service-
dc.contributor.funderMinisterio de Educación y Ciencia (España)-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100001659es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100001655es_ES
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