BindScreen: Protein-Centric Contrastive Learning for Sequence-Based Virtual Screening
Virtual screening ranks candidate molecules against a protein target. Sequence-based deep learning avoids docking’s structural requirements, but pair-based models need one forward pass per protein-molecule pair and scale poorly to large libraries. Dual-encoder contrastive models remove that bottleneck, yet standard CLI...