project . 2020 - 2023 . On going

RiPCoN

Rapid interaction profiling of 2019-nCoV for network-based deep drug-repurpose learning (DDRL)
Open Access mandate for Publications European Commission
  • Funder: European CommissionProject code: 101003633 Call for proposal: H2020-SC1-PHE-CORONAVIRUS-2020
  • Funded under: H2020 | RIA Overall Budget: 1,230,640 EURFunder Contribution: 1,230,640 EUR
  • Status: On going
  • Start Date
    01 Apr 2020
    End Date
    31 Mar 2023
  • Detailed project information (CORDIS)
  • Open Access mandate
    Research Data: No
Description
We aim to identify approved drugs that can be repurposed for the treatment of 2019-nCoV using interactome profiling and deep-learning. We will deploy rapid high-throughput protein-protein interaction mapping and computational protein-RNA interaction predictions to chart the coronavirus host interactome network (CoHIN), which will become a public resource for translational and basic coronavirus research few months after project start. CoHIN will serve as input into an existing deep-learning model to identify approved drugs that are likely effective against 2019-nCoV, which will be validated in in vitro and in vivo systems. In the second stage we will experimental...
Description
We aim to identify approved drugs that can be repurposed for the treatment of 2019-nCoV using interactome profiling and deep-learning. We will deploy rapid high-throughput protein-protein interaction mapping and computational protein-RNA interaction predictions to chart the coronavirus host interactome network (CoHIN), which will become a public resource for translational and basic coronavirus research few months after project start. CoHIN will serve as input into an existing deep-learning model to identify approved drugs that are likely effective against 2019-nCoV, which will be validated in in vitro and in vivo systems. In the second stage we will experimental...
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