This is pretty clear proof that top-tier ML engineers can outperform pharma teams at problems relevant to drug discovery.https://twitter.com/AndrewCutler13/status/1194706278074871809 …
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Relevant is a loose term here. I just meant that the stereotype that “techies can’t do bio/pharma stuff” is false. I pretty much agree with you in not expecting structure prediction to drive the development of many new drugs.
Ah, I see, yes I agree!
What do you think of AlQuraishi's argument here? "If you think [protein folding not core to pharma] consider the fact that some pharmaceuticals have internal crystallographic databases that rival or exceed the PDB in size for some protein families."
I’m not sure of the context. Big pharma does all sorts of things just-in-case. And crystallographic structures sometimes are useful. If you could get equivalent quality faster/cheaper in silico, it would help a bit occasionally.
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