GRIB. Research Unit on Biomedical Informatics

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New computational approach to predicting adverse drug reactions with higher confidence

A new integrated computational method helps predicting adverse drug reaction-which are often lethal-more reliably than with traditional computing methods. This improved ability to foresee the possible adverse effects of drugs may entail saving many lives in the future. The study that is being conducted by researchers from Systems Pharmacology group of GRIB (IMIM-UPF), and the company Chemotargets, within the framework of the European project eTOX, was chosen for the cover of the journal Chemical Research in Toxicology.

Jordi Mestres, coordinator of the Systems Pharmacology group of GRIB states 'With this study we have contributed to complementing the detection of these quite unstable fragments, with information on the mechanism of action of the drug, based on three aspects: similarity to other medicines, prediction of their pharmacological profile, and interference with specific biological pathways. The optimal integration of these four aspects results in a clear improvement of our ability to anticipate adverse effects with higher confidence, which entails an extremely positive impact on society'.

Click here to watch interview to Jordi Mestres at L'Illa de Robinson (El Punt TV)

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The IBI group became a node of the Nanopublication Network with a new release of DisGeNET

The Integrative Biomedical Informatics Group is pleased to announce the second release of DisGeNET nanopublications that is a linked dataset implemented by combining the nanopublication approach and the Trusty Uniform Resource Identifiers (URIs) technique. In this new exciting Data Science era, nanopublications are an emerging approach of publishing structured data that allows the tracking of provenance along with the scientific statement. The Trusty URIs is a novel technique to make resources in the Web immutable and verifiable, and to ensure the unambiguity of the data linking in the Semantic Web. 

In addition, we are happy to announce that our group has become a new node, and the first one in Spain, of the Nanopublication Network, which is a new decentralized server network to release and retrieve Linked Data as nanopublications in a reliable and trustworthy manner. Please see the current nodes at the nanopub-network monitor. This work has been done in collaboration with Dr. Tobias Kuhn (VU University Amsterdam), who is an expert in Semantic Web approaches. DisGeNET nanopublications are available in this new distributed nanopublication server network.

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Last project


The project MedBioinformatics "Creating medically-driven integrative bioinformatics applications focused on oncology, CNS disorders and their comorbidities" aims to develop useful bioinformatics tools and applications, and autonomously usable for analysing the huge amount of data and knowledge generated in healthcare and biomedical research in order to facilitate translational research and precision medicine. European project funded by H2020 for the period 2015-2018 and coordinated by the GRIB.

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Last publications

  • Marin-Lopez MA, Planas-Iglesias J, Bonet J, Poglayen D, Garcia-Garcia J, Fernandez-Fuentes N, Oliva B. Understanding protein recognition using structural features. Protein Sci, 2015; 24; 245-245; 1; SI; PJ-019
  • Bonet J, Garcia-Garcia J, Planas-Iglesias J, Fernandez-Fuentes N, Oliva B. Archer: Predicting protein function using local structural features. A helpful tool for protein redesign. Protein Sci, 24 221-221; 1; SI; PI-081
  • Gama-Norton L, Ferrando E, Ruiz-Herguido C, Liu Z, Guiu J, Islam AB, Lee SU, Yan M, Guidos CJ, López-Bigas N, Maeda T, Espinosa L, Kopan R, Bigas A. Notch signal strength controls cell fate in the haemogenic endothelium. Nat Commun, 2015; 6: 8510. PMID: 26465397 . DOI: 10.1038/ncomms9510.
  • Subirana JA, Albà MM, Messeguer X. High evolutionary turnover of satellite families in Caenorhabditis. BMC Evol Biol, 2015; 15(1):218. PMID: 26438045 . DOI: 10.1186/s12862-015-0495-x.

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