Strategic Research Laboratory of Computational Medicine (LMC)

Laboratory of Computational Medicine (LMC)

The research team at the Laboratory of Computational Medicine is working on a wide range of subjects essentially focused on translational bioinformatics. Computational tools, ranging from statistical methods to gene, sequence, and protein analysis are applied to link knowledge across chemical and biological realms. In particular, we combine structural bioinformatics, molecular dynamics and data-mining of structure and sequence databases with experimental results from site-directed mutagenesis, functional assays and biophysical techniques to study the structure of membrane proteins, the structural determinants and changes associated with ligand binding, and how the knowledge of these structural elements can be translated into predictive tools for the selection and design of molecules acting on receptors with a therapeutic potential.

Main projects

  • 1.

    Functional Pharmacogenomics of G Protein-Coupled Receptors

    EC LSHB-CT-2003-503337. Period 2004-2006

  • 2.

    Network of computational biomedicine (COMBIOMED)

    ISCIII, RD07/0067/0008. Period 2008-2012

  • 3.

    New targets and therapeutic strategies

    MINECO, SAF2013-48271-C2-2-R. Period 2014-2016



Bioinformatics expertise:

Group Leader:

Leonardo Pardo

Bioinformatics services offered

  • Structure-based design of drugs for G protein-coupled receptors.