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Leash Bio releases Minos, an agent sandbox built on DNA-encoded library data

2 articles2 sourcessince Oct 14Last article 1h ago ·

Overview

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Leash Bio releases Minos, an AI playground where agents reason about structure-activity relationships using lab-in-the-loop simulations derived from its DNA-encoded library data.

The company published a preprint, blog post and open dataset with the release, according to a Latent Space report.

Leash co-founder Alex Allman says DNA-encoded libraries generate billions of protein–molecule measurements for training AI drug-discovery agents. 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.

Written by AI from the articles below · updated Oct 14, 5:07 PM ET

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Developments

2 developments

  1. Oct 14, 4:44 PM ET · 1 article
    Leash Bio explains how DNA-encoded libraries could train AI drug-discovery agents
    Latent.Space: Leash Bio explains how DNA-encoded libraries could train AI drug-discovery agents
  2. Oct 14, 4:35 PM ET · 1 article
    Leash Bio releases Minos, an agent sandbox built on its DNA-encoded library data
    Latent Space: Leash Bio releases Minos, an agent sandbox built on its DNA-encoded library data

Article timeline

The articles in this story. Times are ET.

Oct 14
  1. Latent.SpaceX
    Leash Bio explains how DNA-encoded libraries could train AI drug-discovery agents

    AILeash 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.

    Video from @latentspacepod's post
  2. Latent SpaceBlog
    Leash Bio releases Minos, an agent sandbox built on its DNA-encoded library data

    AILeash Bio releases Minos, an AI playground where agents reason about structure-activity relationships using lab-in-the-loop simulations derived from its DNA-encoded library data. The company published a preprint, blog post, and open dataset alongside the release. The podcast episode with co-founder Ian Quigley covers Leash's DNA-encoded library work and its Kaggle competition results.

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