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dc.contributor.authorBORRO, L. C.pt_BR
dc.contributor.authorOLIVEIRA, S. R. M.pt_BR
dc.contributor.authorYAMAGISHI, M. E. B.pt_BR
dc.contributor.authorMANCINI, A. L.pt_BR
dc.contributor.authorJARDINE, J. G.pt_BR
dc.contributor.authorMAZONI, I.pt_BR
dc.contributor.authorSANTOS, E. H. dospt_BR
dc.contributor.authorHIGA, R. H.pt_BR
dc.contributor.authorKUSER, P. R.pt_BR
dc.contributor.authorNESHICH, G.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2007-03-07pt_BR
dc.date.issued2006pt_BR
dc.identifier.citationGenetics and Molecular Research, v. 5, n. 1, p. 193-202, 2006.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/9196pt_BR
dc.descriptionABSTRACT. Predicting enzyme class from protein structure parameters is a challenging problem in protein analysis. We developed a method to predict enzyme class that combines the strengths of statistical and data-mining methods. This method has a strong mathematical foundation and is simple to implement, achieving an accuracy of 45%. A comparison with the methods found in the literature designed to predict enzyme class showed that our method outperforms the existing methods.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectBioinformáticapt_BR
dc.subjectEstrutura de proteínapt_BR
dc.subjectClasse de enzimapt_BR
dc.subjectBayesian classificationpt_BR
dc.subjectProtein function predictionpt_BR
dc.subjectNaive Bayespt_BR
dc.subjectEnzyme classification numberpt_BR
dc.subjectBayesian classifierpt_BR
dc.subjectData classificationpt_BR
dc.titlePredicting enzyme class from protein structure using Bayesian classification.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-05-17T11:11:11Zpt_BR
dc.subject.nalthesaurusBioinformaticspt_BR
dc.subject.nalthesaurusProtein structurept_BR
riaa.ainfo.id9196pt_BR
riaa.ainfo.lastupdate2017-05-17pt_BR
dc.contributor.institutionLUIZ C. BORRO, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; ADAUTO LUIZ MANCINI, CNPTIA; JOSE GILBERTO JARDINE, CNPTIA; IVAN MAZONI, CNPTIA; EDGARD HENRIQUE DOS SANTOS, CNPTIA; ROBERTO HIROSHI HIGA, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; GORAN NESHICH, CNPTIA.pt_BR
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