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Leash Bio explains how DNA-encoded libraries could train AI drug-discovery agents

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Leash Bio's Alex Allman explains how DNA-encoded libraries generate billions of protein–molecule measurements for AI training. He says no team in Leash's Kaggle competition beat chance on an unseen chemical library, and that agents ran over 10,000 medicinal chemistry campaigns in a weekend in replayable experimental worlds.

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From Wet Lab to RL Env: 10,000 Drug-Discovery Campaigns in a Weekend

@LeashBio’s @allmeasures explains how DNA-encoded libraries generate billions of protein–molecule measurements, why no team in Leash’s Kaggle competition beat chance on an unseen chemical library, how public datasets can teach AI to recognize the chemist instead of understand the chemistry, why engineering protein mutations exposes model memorization, and how replayable experimental worlds let agents run over 10,000 medicinal chemistry campaigns in a weekend. Plus: Hermes vs. Boltz, moving from DEL hits to mouse studies in six months, and why experimental rigor and the Bitter Lesson of scaling could unlock a new generation of AI-driven drug discovery.

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