Predicting enzyme class from protein structure using Bayesian classification.

BORRO, L. C.; OLIVEIRA, S. R. M.; YAMAGISHI, M. E. B.; MANCINI, A. L.; JARDINE, J. G.; MAZONI, I.; SANTOS, E. H. dos; HIGA, R. H.; KUSER, P. R.; NESHICH, G.

Predicting enzyme class from protein structure using Bayesian classification.

Autores

Descripción

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.

Palabras clave

Bioinformática, Estrutura de proteína, Classe de enzima, Bayesian classification, Protein function prediction, Naive Bayes, Enzyme classification number, Bayesian classifier, Data classification, Bioinformatics, Protein structure