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With ML-assisted drug discovery in, say, kinase inhibitors we search the molecule variation space for test candidates. What stops us from applying this to the p
by datameta 5y ago
With ML-assisted drug discovery in, say, kinase inhibitors we search the molecule variation space for test candidates. What stops us from applying this to the protein scale by folding binding sites to discover variant candidates that would be more virulent? I'd like to understand this better.
- nradov 5y agoSure you can explore the solution space in software to identify candidates but at some point you have to create a live virus and see how it actually performs.