<h1>Researchers developed DrugCLIP, an AI tool for genome-wide virtual screening. Using deep contrastive learning, it screens trillions of pairs in under 24 hours. Validated by wet-lab experiments on targets like TRIP12, it offers an open-access database for drug discovery.</h1>References:<ul> <li>Jia Y, Gao B, Tan J, et al. Deep contrastive learning enables genome-wide virtual screening[J]. Science, 2026, 391(6781): eads9530.</li></ul>

Researchers developed DrugCLIP, an AI tool for genome-wide virtual screening. Using deep contrastive learning, it screens trillions of pairs in under 24 hours. Validated by wet-lab experiments on targets like TRIP12, it offers an open-access database for drug discovery.References: Jia Y, Gao B, Tan J, et al. Deep contrastive learning enables genome-wide virtual screening[J]. Science, 2026, 391(6781): eads9530.

Researchers developed DrugCLIP, an AI tool for genome-wide virtual screening. Using deep contrastive learning, it screens trillions of pairs in under 24 hours. Validated by wet-lab experiments on targets like TRIP12, it offers an open-access database for drug discovery.References:<ul> <li>Jia Y, Gao B, Tan J, et al. Deep contrastive learning enables genome-wide virtual screening[J]. Science, 2026, 391(6781): eads9530.</li></ul>

501-DrugCLIP: Virtual Screening via Contrastive Learning

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501-DrugCLIP: Virtual Screening via Contrastive Learning

501-DrugCLIP: Virtual Screening via Contrastive Learning