Predicting enzyme class from protein structure using Bayesian classification

Autor: Luiz Borro, Oliveira, Stanley R. M., Yamagishi, Michel E. B., Mancini, Adaulto L., Jardine, Jose G., Mazoni, Ivan, Dos Santos, Edgard H., Higa, Roberto H., Kuser, Paula R., Neshich, Goran

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Scopus-Elsevier
ResearcherID

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 mathema

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4cc2734b153e87f6d2db9ab902ccca95
http://www.alice.cnptia.embrapa.br/alice/handle/doc/9196