Supplementary Information for The Virtual Lab of AI Agents Designs New SARS-CoV-2 Nanobodies
Overview
Paper Summary
This research uses AI agents in a 'virtual lab' to modify existing nanobodies against new SARS-CoV-2 variants (KP.3 and JN.1). The agents employ computational tools like ESM, AlphaFold-Multimer, and Rosetta, combining computational predictions with limited experimental validation to demonstrate improved binding affinity.
Explain Like I'm Five
AI agents designed nanobodies against new Covid variants. They used existing nanobodies and improved them with computer simulations and lab experiments.
Possible Conflicts of Interest
None identified.
Identified Limitations
Rating Explanation
This supplementary information describes a novel approach using AI agents for nanobody design. The combination of computational methods and experimental validation is promising, justifying a rating of 4 despite limitations in the scope of experimental work.
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