Alfonso Valencia

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The EXSCALATE4CoV (E4C) project aims to exploit the most powerful computing resources currently based in Europe to empowersmart in-silico drug design. Advanced Computer-Aided Drug Design (CADD) in combination with the high throughput biochemicaland phenotypic screening will allow the rapid evaluation of the simulations results and the reduction of time for the discovery ofnew...

Personalised Medicine (PerMed) opens unexplored frontiers to treat diseases at the individual level combining clinical and omics information. However, the performances of the current simulation software are still insufficient to tackle medical problems such as tumour evolution or patient-specific treatments. The challenge is to develop a sustainable roadmap to scale-up the...

In the previous project, EPIC, we developed a consistent methodological framework for the exploration of disease comorbidity at the molecular level. EPIC provides a first overview of disease interactions from the general level to the one of individual patients. Particularly interesting is the network of patient-subgroups that matches, in a statistically significant manner,...

The diversity, complexity and volume, as well as privacy and regulatory considerations, necessitate a collaborative and federated approach to life-science data. For scientists to find and share data across Europe and world-wide, ELIXIR needs to continuously develop and connect its services. The international ecosystem provided by ELIXIR with 220 institutes in 23 Nodes,...

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