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.
Fields of science
Call for proposal
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