Stephen Mackinnon - PolypharmDB, Quickly Identifies Repurposed Drug Candidates for COVID-19
"There is an immediate need to discover treatments for COVID-19, the pandemic caused by the SARS-CoV-2 virus. Standard small molecule drug discovery workflows that start with library screens are an impractical path forward given the timelines to discover, develop, and test clinically. To accelerate the time to patient testing, here we explored the therapeutic potential of small molecule drugs that have been tested to some degree in a clinical environment, including approved medications, as possible therapeutic interventions for COVID-19. Cyclica applied our deep-learning drug-target prediction engine MatchMaker to generate an all-by-all map of ~10,000 drugs with clinical data to ~8,000 human and ~10 viral proteins, which we call PolypharmDB. Cyclica is working with over 20 academic and industry collaborators internationally on computational strategies to define relevant target sets and experimental groups with testing capabilities.
From: https://chemrxiv.org/articles/Polypha..."
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