BACARDIT , Jaume

Protein structure prediction remains one of the most important challenges in molecular biology. Contact maps have been extensively used as a simplified representation of protein structures. In this work, we propose a multi-objective evolutionary approach for contact map prediction. The proposed method bases the prediction on a set of...

Association rule mining is a well-known methodology to discover significant and apparently hidden relations among attributes in a subspace of instances from datasets. Genetic algorithms have been extensively used to find interesting association rules. However, the rule-matching task of such techniques usually requires high computational and...

Motivation: The prediction of a protein's contact map has become in recent years, a crucial stepping stone for the prediction of the com-plete 3D structure of a protein. In this article, we describe a method-ology for this problem that was shown to be successful in CASP8 and CASP9. The methodology is based on (i) the fusion of the prediction of...

We present a multi-objective evolutionary approach to predict protein contact maps. The algorithm provides a set of rules, inferring whether there is contact between a pair of residues or not. Such rules are based on a set of specific amino acid properties. These properties determine the particular features of each amino acid represented in the...