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    Replayable experimental worlds are said to let agents run over 10,000 medicinal chemistry campaigns in a weekend

    Latent Space says replayable experimental worlds let agents run over 10,000 medicinal chemistry campaigns in a weekend.

    Latent.SpaceLA
    1 Source, 36m ago, first seen 36m ago

    TLDR

    Latent Space describes a Leash Bio speaker’s account of DNA-encoded libraries that generate billions of protein–molecule measurements. The speaker discusses why no team in Leash Bio’s Kaggle competition beat chance on an unseen chemical library, and how public datasets can teach AI to recognize the chemist rather than the chemistry. Latent Space also says replayable experimental worlds let agents run over 10,000 medicinal chemistry campaigns in a weekend.

    Combined views

    383

    1 Source, first seen 36m ago

    2 likes1 reposts

    Combined views

    383

    1 Source, first seen 36m ago

    2 likes1 reposts
    From Wet Lab to RL Env: 10,000 Drug-Discovery Campaigns in a Weekend — Ian Quigley, Leash Bio
    Image: Latent Space on YouTube
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    1 Source

    Latent.Space@latentspacepodFrom 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.36m
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    1 Source

    Latent.Space@latentspacepodFrom 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.36m
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