Powered by OpenAIRE graph
Found an issue? Give us feedback

RiPCoN

Rapid interaction profiling of 2019-nCoV for network-based deep drug-repurpose learning (DDRL)
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
Open Access mandate
Research data: No
visibility
download
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
3
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 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

Data Management Plans
  • OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 3
  • 4
    views
    3
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

All Research products
arrow_drop_down
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda__h2020::4d89643fb2836308f69398877681893e&type=result"></script>');
-->
</script>
For further information contact us at helpdesk@openaire.eu

No option selected
arrow_drop_down