Ensemble of classifiers for protein fold recognition

Predicting the three-dimensional structure of a protein from its amino-acid sequence is an important problem in bioinformatics and a challenging task for machine learning algorithms. In this paper, we investigate an ensemble of classifiers, applied for protein fold recognition, and tested it on a real-world dataset. The obtained results are very encouraging, our results improved the average predictive accuracy obtained in previously published work.