Abstract

Predicting enzyme class from protein structure using Bayesian classification

Author(s): Luiz C. Borro, Stanley R.M. Oliveira, Michel E.B. Yamagishi, Adaulto L. Mancini, Jos�© G. Jardine, Ivan Mazoni, Edgard H. dos Santos, Roberto H. Higa, Paula R. Kuser and Goran Neshich

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.

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