跳到正文
Latent.Space· @latentspacepod · X·· 2 小时前AI 评分39
AI 导读

LeashBio 的 @allmeasures 介绍 DNA 编码库如何产生数十亿蛋白质-分子测量数据,并指出 Leash 举办的 Kaggle 竞赛中没有任何团队在未见过的化学库上超越随机水平。可重放的实验环境让 AI 智能体在一个周末跑完超 10,000 个药物化学研究项目,还涉及 Hermes 与 Boltz 对比以及从 DEL 命中推进到小鼠研究仅用六个月。

正文

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.

来源:Latent.Space · x.com