Three agents share data to autonomously control a lab and design high-activity enzymes
KevinKaichuang · x · 2026-08-21
Researchers demonstrated a closed-loop framework where autonomous agents design protein variants, construct and characterize them in a robotic lab, and learn from experimental feedback. Applied to glycoside hydrolases, the agents discovered enzymes with substantially altered substrate specificity toward non-native sugars and progressively learned the structure of the underlying sequence space.
Related event: Autonomous AI Agents Design High-Activity Enzymes in Closed-Loop Lab(2 posts)→
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