Predicting enzyme class from protein structure using Bayesian classification
Genet. mol. res. (Online)
; 5(1): 193-202, Mar. 31, 2006. graf, tab
Article
em En
| LILACS
| ID: lil-449133
Biblioteca responsável:
BR1.1
ABSTRACT
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.
Palavras-chave
Texto completo:
1
Índice:
LILACS
Assunto principal:
Conformação Proteica
/
Teorema de Bayes
/
Enzimas
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Genet. mol. res. (Online)
Assunto da revista:
BIOLOGIA MOLECULAR
/
GENETICA
Ano de publicação:
2006
Tipo de documento:
Article