Projects
In this project, we present PluriZymes, enzymes containing multiple (engineered) catalytic actives sites in a single scaffold, as one of the next breakthroughs in enzymatic catalysis. We show clear preliminary evidence of the potential role of PluriZymes in optimizing complex biochemical processes, such as cellulose degradation, or to group cascade reactions into one single...
Gene expression determines the identity of cells and it thus governs the process by which organs and tissues are formed and organized in an individual. Furthermore, differences in gene expression between individuals are known to play a crucial role in determining disease risk. However, the mechanisms of how such differences in gene expression are associated with disease...
Digital twins, along with the Internet of Things and Edge computing , are expected to play a decisive role in the nextdecade s industrial markets (Industry 4.0) enabling dramatic improvements in complex systems design and operation.However, this technology has not been yet widely implemented, since it requires the collaboration of experts in multiple fieldsand costly...
Cholangiocarcinoma (CCA) is a rare type of cancer and the second most common hepatobiliary malignancy, accounting for 10 to 20% of primary liver cancers. In the recent years, different groups have published data on the molecular biology of CCA, describing a complex pathogenesis, involving various molecular pathways, some of them potential therapeutic targets, such as...
Es esencial diseñar antivirales capaces de inhibir, a la vez, diversos coronaviruses, introduciendo así una serie de moléculas que puedan actuar como primera línea de choque en mutaciones de SARS-CoV-2 y en las pandemia venideras. Para ello, es imprescindible localizar dianas con alta similitud, bien caracterizadas estructuralmente, y realizar un...
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...
The HBP is now poised to start the last of four multi-year work plans, which will take it to the end of its original incarnation asan EU Future and Emerging Technology Flagship. Our plan is that the end of the Flagship will see the start of a new life forthe HBP, as an enduring European scientific research infrastructure, EBRAINS, that is on the European Strategy Forum on...
The EU-funded CausalBoost project will apply an innovative method to improve S2S forecasts of MED rainfall. The approach relies on a combination of innovative causal discovery algorithms from machine learning with operational forecast models. The project will identify central S2S drivers of MED rainfall, systematically assess them with prediction models and produce process-based bias...
The main goal of Rising STARS is to enable a parallel programming framework for the development and execution of advanced large-scale Cyber Physical Systems (CPS) with High Performance Computing (HPC) and real-time requirements. Overall, there is an urgent necessity to develop run-time parallel frameworks, compatible with HPC, capable of guaranteeingthat decisions made at...
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,...