Predicting enzyme class from protein structure using Bayesian classification

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.

Key words: Protein function prediction, Protein structure, Naive Bayes, Enzyme classification number, Bayesian classifier, Data classification