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dc.contributor.authorGOMIDE, J.pt_BR
dc.contributor.authorMELO-MINARDI, R.pt_BR
dc.contributor.authorSANTOS, M. A. dospt_BR
dc.contributor.authorNESHICH, G.pt_BR
dc.contributor.authorMEIRA JUNIOR, W.pt_BR
dc.contributor.authorLOPES, J. C.pt_BR
dc.contributor.authorSANTORO, M.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2010-04-15pt_BR
dc.date.issued2009pt_BR
dc.identifier.citationGenetics and Molecular Biology, v. 32, n. 3, p. 645-651, 2009.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/664383pt_BR
dc.descriptionIn this article, we describe a novel methodology to extract semantic characteristics from protein structures using linear algebra in order to compose structural signature vectors which may be used efficiently to compare and classify protein structures into fold families. These signatures are built from the pattern of hydrophobic intrachain interactions using Singular Value Decomposition (SVD) and Latent Semantic Indexing (LSI) techniques. Considering proteins as documents and contacts as terms, we have built a retrieval system which is able to find conserved contacts in samples of myoglobin fold family and to retrieve these proteins among proteins of varied folds with precision of up to 80%. The classifier is a web tool available at our laboratory website. Users can search for similar chains from a specific PDB, view and compare their contact maps and browse their structures using a JMol plug-in.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectProtein classificationpt_BR
dc.subjectContact mapspt_BR
dc.subjectLinear algebrapt_BR
dc.subjectSingular value decompositionpt_BR
dc.subjectLatent semantic indexingpt_BR
dc.titleUsing linear algebra for protein structural comparison and classification.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-09-29T11:11:11Zpt_BR
dc.subject.thesagroBiologia molecularpt_BR
dc.subject.nalthesaurusMolecular biologypt_BR
riaa.ainfo.id664383pt_BR
riaa.ainfo.lastupdate2016-09-29pt_BR
dc.identifier.doihttp://dx.doi.org/10.1590/S1415-47572009000300032pt_BR
dc.contributor.institutionJANAÍNA GOMIDE, UFMG; RAQUEL MELO-MINARDI, UFMG; MARCOS AUGUSTO DOS SANTOS, UFMG; GORAN NESHICH, CNPTIA; WAGNER MEIRA JUNIOR, UFMG; JÚLIO CÉSAR LOPES, UFMG; MARCELO SANTORO, UFMG.pt_BR
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