Project description DEENESFRITPL Applying deep learning to investigate the coronavirus–host interaction The COVID-19 pandemic has taught us that it is necessary to understand the virus's interaction with the host in order to design effective therapeutics. The EU-funded RiPCoN project will analyse protein–protein interactions and protein–RNA interaction predictions between virus and host and feed this information into an existing deep learning model. This will generate a public resource for translational and basic coronavirus research and help identify approved drugs that are likely effective against 2019-nCoV. Most importantly, scientists will examine how genetic variations in both humans and the virus are jointly responsible for disease severity, hoping to improve risk management and preparedness for future outbreaks. Show the project objective Hide the project objective Objective 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 experimentally determine the matrix of viral protein alleles vs. variants of the interacting human proteins to understand how human and viral natural variations jointly mediate disease severity in different individuals. These data will be integrated with epidemiological and human genomics data to improve risk management and improve preparedness for future coronavirus outbreaks. Overall, we aim to achieve the following objectives: - Map the protein interactome of 2019-nCoV and related Coronaviridae with their human host - Generate the allele interaction matrix and relate differences to epidemiological data - Develop a microarray-based patient screen to detect exposure to 2019-nCoV and identify immunogenic epitopes - Identify 10 approved drugs that are most likely efficient against 2019-nCoV using network integration and deep-learning - Validate drug candidates in in vitro and in vivo systems Fields of science medical and health scienceshealth sciencesinfectious diseasesRNA virusescoronaviruses Keywords Virus-Network Drug-Repurpose DeepLearning Molecular-Interaction-Profiling Protein-Interaction Programme(s) H2020-EU.3.1. - SOCIETAL CHALLENGES - Health, demographic change and well-being Main Programme H2020-EU.3.1.3. - Treating and managing disease Topic(s) SC1-PHE-CORONAVIRUS-2020 - Advancing knowledge for the clinical and public health response to the 2019-nCoV epidemic Call for proposal H2020-SC1-PHE-CORONAVIRUS-2020 See other projects for this call Funding Scheme RIA - Research and Innovation action Coordinator HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH Net EU contribution € 800 635,00 Address Ingolstadter landstrasse 1 85764 Neuherberg Germany See on map Region Bayern Oberbayern München, Landkreis Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (2) Sort alphabetically Sort by Net EU contribution Expand all Collapse all INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE France Net EU contribution € 232 500,00 Address Rue de tolbiac 101 75654 Paris See on map Region Ile-de-France Ile-de-France Paris Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 FUNDACIO INSTITUT DE RECERCA BIOMEDICA (IRB BARCELONA) Spain Net EU contribution € 197 500,00 Address Carrer baldiri reixac 10-12 parc scientific de barcelona 08028 Barcelona See on map Region Este Cataluña Barcelona Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
