Jordi Mestres takes part in the European project EOSC-Life which aims to develop an open collaborative space for digital biology
The project EOSC-Life aims to create an open collaborative digital space for life science in the European Open Science Cloud (EOSC). EOSC-Life brings together the 13 european research infrastructures in the Health and Food domain of the ESFRI Roadmap and is funded by H2020 for the period 2019-2023. The project involves research groups from 46 European academic institutions. These include the GRIB Systems Pharmacology research group (IMIM-UPF) led by Jordi Mestres, which is helping develop collaborative tools for integrating and analysing all kinds of data in the field of life sciences.
According to Dr. Mestres: "Taking part in this macroproject is a unique opportunity to contribute to the development of open, interoperable and reusable computational tools across all strategic research infrastructures in Europe. The potential impact of this initiative is enormous and goes beyond the European level. There is a growing willingness to share data, to properly annotate and integrate it, and to develop tools for analysing it, to facilitate open access and use by the entire scientific community."
Niklas Blomberg, Director of ELIXIR and Coordinator of the project said: "EOSC-Life will bring together the resources, tools, skills and expertise necessary to transform the fragmented research data landscape into an open space for digital biology. Our ultimate goal is to maximise the collective potential of biomedical ESFRI research infrastructures and the researchers using them. By the end of this project EOSC-Life will be established as the new norm for digital biology in Europe - accessible by Europe's 500,000 life scientists."
Congratulations to the Computational Science group and Acellera for the great results at the D3R Grand Challenge 4
The D3R Grand Challenge 4 is an international competition which offers several tasks considered to be of pharmaceutical interest. Usually, these tasks involve predicting how a drug binds into a protein and/or how strong this binding is. Ideally, if one could predict with high accuracy these values, the drug discovery process will be accelerated and the costs of developing new drugs would decrease. Hence, one of the valuable aspects of these challenges is that they can provide a rough measure of how far we are from this ideal situation.
Acellera and the Computational Science group, led by Gianni de Fabritiis, worked together in this project, using some tools which have already been available for a while at PlayMolecule, like KDeep or DeltaDelta, and developing a new one: SkeleDock.
This week, the D3R organizers have announced the results for the different subchallenges of the competition. We are happy to report they have ranked first in two of them (BACE free energy prediction and BACE scoring, both in stage 2).
FAIRPlus
The project FAIRPlus aims to improve data management and data governance in European health research. The project aims to increase the discovery, accessibility and reusability of data from selected projects funded by the EU's Innovative Medicine Initiative (IMI), and internal data from pharmaceutical industry partners. It will also organise training for data scientists in academia, SMEs and pharmaceutical companies to enable wider adoption of best practises in life science data management. The project is funded by the Innovative Medicines Initiative (IMI2) together with the pharmaceutical industry for the period 2019-2021.
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