Review of C2026: Grand Challenges for Predictive Modeling in Drug Discovery
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Summary
This blog post reviews the C2026 preprint (Grand Challenges for Predictive Modeling in Small Molecule Drug Discovery) published on ChemXriv. The author welcomes this collection of grand challenges as a useful counterpoint to the overly optimistic view that AI/ML can solve all problems in drug discovery. The post emphasizes the need for sharper problem definition in the field rather than relying solely on AI enthusiasm.
Key quotes
· 3 pulledWhile there is substantial enthusiasm (particularly around AI) for revolutionizing drug discovery, this moment demands sharper problem definition.
A well-organized collection of grand challenges can indeed help focus scientific research effort on the most important challenges
I consider C2026 to be welcome relief from the view that we can solve all problems with AI/ML.
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