Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. It is also an interesting

issue for statistical methods recognition. There are many approaches to this problem considering discriminative and

generative classifiers. In this paper a classifier combining the well-known support vector machine (SVM) classifier with regularized discriminant analysis (RDA) classifier is presented. It is used on a real world data set. The obtained results are promising improving previously published method