AI agents move onto the wet-lab bench: three closed-loop rounds lift α-thrombin hit rate from 0% to 42.1%
Google Research has connected AI agents to wet-lab liquid-handling robots so that design, experiment and sequencing readout form a closed loop. Previously agents could only do computational design while real experimental readouts lagged. Using DNA aptamers as a testbed, agents revised their own rules after two failed rounds, raising confirmed on-target hit rates to 42.1% for α-thrombin and 33.5% for myoglobin.