Submission Details

Design Rationale:

Hello COVID Moonshot, you've probably already seen this paper ("Repositioning of 8565 Existing Drugs for COVID-19", Gao et al., https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313673/), but some researchers used machine learning to predict the binding affinities for lots of pre-approved drugs to the SARS-CoV-2 3CL protease. They used this to come up with a list of candidate drugs that they predict will bind to the protease with high affinity. I've submitted "chloroxine" as an example drug, but there are many more listed in the paper. I'm not affiliated with these researchers in any way, but just wanted to bring this paper to your attention in case you hadn't seen it :) Cheers, Caleb