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Ultralarge adaptive virtual screening links AI scale to experiments

Ultralarge adaptive virtual screening links AI scale to experiments

An open-source platform combines active learning, multiple docking methods, and cloud-scale computation to search a reported 69-billion-compound library. FSP1 and PARP1 inhibitors supported by nanomolar activity and co-crystal structures show the value of experimental follow-through, but independent replication, selectivity, hit quality, and downstream translation remain to be established.

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Updated Sep 3, 2026
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