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Across 82 molecular generative models spanning diffusion to Transformers, high in silico benchmark scores still fail to reliably translate to wet-lab therapeutic hits without explicit modeling of receptor flexibility and 3D interaction physics.
Unlock a 6x boost in hit rates for novel anti-cancer agents by infusing chemical structures with biological insights, even without biological data at inference time.
