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0 pointsdekhn3y ago0 comments

I think they used many nice words and in the right order, but the impact this will have on the rate of good drugs being approved is close to zero.

That's both because the technology itself doesn't really produce good leads, but because even if you find good leads, there are many other high probability reasons your drug will fail that have nothing to do with its safety and efficacy, and no ML model that exists today can address that.

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jleyank3y ago· 1 in thread

Remember the dream of modeling - get to market 3 months sooner and you make 1-2B USD. Or, defend a patent or help evade/break one. For blockbuster drugs, 90 days off the multi-year drug development process is serious coin. And we'll need such speed when paxlovid starts encountering resistance.

dekhnOP3y ago

I work in pharma and used to work on DOCK (the UCSF code). Nobody in pharma believes that speeding up docking is making a difference to get to market. Well, not nobody, but certainly not the decision makers. We all wish there was "Press Button, Spend Money, Get Leads Quick".

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