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dc.contributor.authorYAMAGISHI, M. E. B.
dc.contributor.authorOLIVEIRA, S. R. M.
dc.contributor.authorBORRO, L. C.
dc.contributor.authorSANTOS, E. H.
dc.contributor.authorJARDINE, J. G.
dc.contributor.authorVIEIRA, F. D.
dc.contributor.authorMAZONI, I.
dc.contributor.authorNARCISO, M. G.
dc.contributor.authorKUSER-FALCÃO, P. R.
dc.contributor.authorNESHICH, G.
dc.date.accessioned2022-05-17T18:13:45Z-
dc.date.available2022-05-17T18:13:45Z-
dc.date.created2006-08-17
dc.date.issued2006
dc.identifier.citationIn: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/9310-
dc.descriptionShort Abstract: In this work we present a new method to classify enzymes that uses the STING_DB physical-chemical parameters and Bagging predictors. By building models based on "decision tree" and "neural network", we obtained an accuracy of 74% on average. These results outperform the similar models proposed in literature.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectParâmetros estruturais da proteína
dc.subjectParâmetros de Sting_DB
dc.subjectBioinformática
dc.titlePredicting enzyme class from protein structural parameters and bagging predictors.
dc.typeResumo em anais e proceedings
dc.subject.thesagroProteina
dc.subject.thesagroEnzima
dc.subject.nalthesaurusProteins
dc.subject.nalthesaurusEnzymes
dc.subject.nalthesaurusBioinformatics
dc.description.notesISMB, X-MEETING 2006. Poster I-13.
dc.format.extent2Não paginado.
riaa.ainfo.id9310
riaa.ainfo.lastupdate2022-05-17
dc.contributor.institutionMICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; LUIZ C. BORRO; EDGARD HENRIQUE DOS SANTOS, CNPTIA; JOSÉ GILBERTO JARDINE, CNPTIA; FÁBIO DANILO VIEIRA, CNPTIA; IVAN MAZONI, CNPTIA; MARCELO GONCALVES NARCISO, CNPTIA; PAULA REGINA KUSER FALCÃO, CNPTIA; GORAN NESHICH, CNPTIA.
Aparece en las colecciones:Resumo em anais de congresso (CNPTIA)

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