Our research efforts are centered in the development computational approaches to use genome information in drug discovery. Our studies can be divided in three different areas:

Computational Genomics
We are trying to develop techniques for genome comparison and microarray analysis, mainly based on multivariate statistics. We aim to use these techniques to detect pharmacologically important gene products.

Structural Bioinformatics
We are developing new techniques for structure prediction and low resolution structure determination from limited NMR data. We are also developing rigorous methods for structure comparison in order to better understand protein architecture.

Receptor-Based Drug Design
We are exploring new docking and scoring approaches in order to be able to design new leads from structural information, as well as new approaches to automatically optimize these leads.