Abstract
The SARS-CoV-2 main viral protease (Mpro) is an attractive target for antivirals given its distinctiveness from host proteases, essentiality in the viral life cycle and conservation across coronaviridae. We launched the COVID Moonshot initiative to rapidly develop patent-free antivirals with open science and open data. Here we report the use of machine learning for de novo design, coupled with synthesis route prediction, in our campaign. We discover novel chemical scaffolds active in biochemical and live virus assays, synthesized with model generated routes.
| Original language | English |
|---|---|
| Pages (from-to) | 5909-5912 |
| Number of pages | 4 |
| Journal | Chemical communications (Cambridge, England) |
| Volume | 57 |
| Issue number | 48 |
| DOIs | |
| State | Published - 18 Jun 2021 |
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