Predicting enzyme class from protein structure using Bayesian classification
Genet. mol. res. (Online)
;
5(1): 193-202, Mar. 31, 2006. graf, tab
Artículo
en Inglés
| LILACS
| ID: lil-449133
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.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Conformación Proteica
/
Teorema de Bayes
/
Enzimas
Tipo de estudio:
Estudio pronóstico
/
Factores de riesgo
Límite:
Humanos
Idioma:
Inglés
Revista:
Genet. mol. res. (Online)
Asunto de la revista:
Biologia Molecular
/
Genética
Año:
2006
Tipo del documento:
Artículo
País de afiliación:
Brasil
Institución/País de afiliación:
Embrapa Information Technology/BR
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