GRIB. Research Unit on Biomedical Informatics





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The 2nd annual conference Bermuda Principles - Impact on Splicing is coming

The 2nd annual conference Bermuda Principles - Impact on Splicing (BPIS) will be held on February 21 - 25th, 2018. Eduardo Eyras, head of the Computational RNA Biology group of GRIB (UPF-IMIM) takes part in the organization of this event.

The inaugural BPIS Conference that took place in February 2017 was a great success, consolidating it as annual event on the scientific calendar. In 2018 this exciting conference will feature a distinguished Keynote Lecture by Professor Adrian Krainer, presentations by six keynote speakers representing a wealth of countries including Italy, Scotland, England and the USA, and a further array of speakers from the USA, Switzerland, South Africa and Australia. The conference topics include: Splicing mechanisms; RNA structure; RNA - protein interactions; Bioinformatics; Splicing and disease; Links to transcription; Therapeutics and translational applications.

For further information about the conference please visit the website htps://www.bermudaprinciples.org/

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Project eTOX close out meeting held in Brussels

On January 25th, the eTOX Executive Committee members François Pognan (Novartis Pharma), Ferran Sanz (FIMIM), Thomas Steger-Hartmann (BHC) and Carlos Díaz (SYNAPSE) held the close out meeting of the eTOX project at the IMI´s offices in Brussels. IMI´s Executive Director Dr Pierre Meulien also attended the meeting. The main points addressed during the meeting were project's objectives and outcomes, impact, sustainability and lessons learned.

The eTOX project stems from the very first IMI Call (it started in 2010) and was the very first IMI project coordinated by FIMIM. The project successfully ended in December 2016. With a budget of over 18.5 million €, the project was undertaken by a consortium of 30 organisations led by Novartis, among which 13 EFPIA companies, 11 academic partners, and 6 SMEs. The eTOX project aimed to build a toxicology database and novel software tools to better predict in-vivo toxicology of new chemical entities in early stages of the drug development pipeline.

The eTOX project leaves behind as main assets: eTOXsys - a tool to facilitate the safety assessment of new drug candidates; OntoBrowser - a tool to support community-based ontology development; eTOXlab - a platform for the development and maintenance of the models. These tools are an important legacy that will be further used within eTRANSAFE, an IMI-2 project recently started, that is expected to build upon the success of eTOX.

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Last project

eTRANSAFE

The project eTRANSAFE: Enhancing Translational Safety Assessment through Integrative Knowledge Management, aims to develop an advanced data integration infrastructure together with innovative computational methods to improve the security in drug development process. The project is funded by the Innovative Medicines Initiative (IMI 2) together with the pharmaceutical industry for the period 2017-2022 and is coordinated by the GRIB. 

http://www.etransafe.eu/

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Last publications

  • Jiménez Luna J, Skalic M, Martinez-Rosell G, De Fabritiis G. K-DEEP: Protein-ligand absolute binding affinity prediction via 3D-convolutional neural networks. J Chem Inf Model, 2018. PMID: 29309725 . DOI: 10.1021/acs.jcim.7b00650.
  • Faherty SL, Villanueva-Cañas JL, Blanco MB, Albà MM, Yoder AD. Transcriptomics in the wild: hibernation physiology in free-ranging dwarf lemurs. Mol Ecol, 2018 DOI: 10.1111/mec.14483.
  • Ferruz N, Doerr S, Vanase-Frawley MA, Zou Y, Chen X, Marr ES, Nelson RT, Kormos BL, Wager TT, Hou X, Villalobos A, Sciabola S, De Fabritiis G. Dopamine D3 receptor antagonist reveals a cryptic pocket in aminergic GPCRs. Sci Rep, 2018; 8(1): 897. PMID: 29343833 . DOI: 10.1038/s41598-018-19345-7.
  • Gutiérrez-Sacristán A, Guedj R, Korodi G, Stedman J, Furlong LI, Patel CJ, Kohane IS, Avillach P. Rcupcake: an R package for querying and analyzing biomedical data through the BD2K PIC-SURE RESTful API. Bioinformatics, 2017. PMID: 29267850 . DOI: 10.1093/bioinformatics/btx788.

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