Aptamers as a sandbox for lab-in-the-loop agentic molecular discovery
It is demonstrated that empirical lab data is more valuable than existing computational proxies, showing how iterative experimental feedback enables AI agents to diagnose assay artifacts and refine molecular designs across rounds.
Zachary Cutts, John Coller, Rachel J. C. Chen et al.
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