1.
Genet. mol. res. (Online)
;
5(1): 193-202, Mar. 31, 2006. graf, tab
Article
in English
| 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.