Strategic Research

Systems Pharmacology group of GRIB

Our group performs research at the interface between chemistry, biology, and informatics to develop novel computational approaches to designing safer, more efficacious, personalised drugs. We are actively involved in several initiatives to explore the potential of microbial organisms as natural sources for new drugs. Some of the results of the group have been commercialized via the spin-off biotech company Chemotargets.

The Systems Pharmacology group of GRIB, led by Jordi Mestres, is integrated in the Research Programme on Biomedical Informatics, GRIB. The GRIB is a joint research programme of the Hospital del Mar Medical Research Institute (IMIM) and the Department of Experimental and Health Sciences of the Universitat Pompeu Fabra. The GRIB mission is to develop and apply computational methods and information technologies for a better understanding and prediction of biological phenomena, giving especial emphasis to those related to the human diseases, their prevention, diagnosis and pharmacological treatment. 

Main projects

  • 1.

    ESCAPE-NET - European Sudden Cardiac Arrest network: towards Prevention, Education and NEw Treatment

    European project funded by the H2020 for the period 2017-2021.

  • 2.

    Aproximaciones de sistemas a la predicción avanzada de la seguridad de pequeñas moléculas para la salud humana y ambiental

    2015-2017. (BIO2014-54404-R) MINECO.



Bioinformatics expertise:

Group Leader:

Jordi Mestres



Chus Donlo

Bioinformatics services offered

  • PharmaTrek

    PharmaTrek allows pharmacological space to be navigated in a flexible and interactive way, by accessing the content of ChEMBL via the Open PHACTS Discovery Platform.

  • iPHACE

    iPHACE is an integrative web-based tool to navigate in the pharmacological space defined by small molecule drugs contained in the IUPHAR-DB and PDSP databases. Extending beyond traditional querying and filtering tools, iPHACE offers a means to extract knowledge from the target profile of drugs as well as from the drug profile of protein targets.

  • FCP

    FCP is a publicly accessible web tool dedicated to analysing the current state and trends on the population of available structures along the classification schemes of enzymes (specially kinases and proteases), G protein-coupled receptors, nuclear receptors and transporters/channels, offering both graphical and quantitative data on the degree of functional coverage in that portion of the proteome by existing structures, as well as on the bias observed in the distribution of those structures among proteins.