Source Google Research · Published · Open the original ↗
Lab notes
Grounding AI agents in biological reality: Building blocks for autonomous wet labs
General Science
Pooja Rao, Research Scientist, Petar Sirkovic, Software Engineer, and Annalisa Pawlosky, Research Scientist, Google
We are bringing AI agents to the wet-lab bench at Google Research to navigate complex biological landscapes. By grounding agents in physical lab robotics, we can run fast closed-loop molecular design cycles where agents learn how to learn, ultimately discovering single-digit nanomolar protein binders for cancer targets.
Frontier AI systems have the potential to transform biology research and drug discovery by intelligently navigating vast combinatorial search spaces (e.g., a single 100-amino-acid protein spans at least 20 100 possible sequences) calling for dynamic multi-candidate exploration. Our long-term research vision is that AI agents will not only ideate and analyze, but also run lab experiments to test their hypotheses, learn from the results, and self-improve to solve complex problems, all driven by human scientific agency.
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