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      "text": "The team predicts 2,646 previously unannotated ligand-binding sites and reports wet-lab confirmation of five heme binders, indicating that the representation carries biochemical signal.",
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      "text": "The model is a hierarchical geometric network that encodes atoms, chemical blocks, and whole interfaces, then reconstructs masked structure to learn general interface features.\nUsing these embeddings, “ATOMICANets” link proteins by interface similarity and recover disease-specific communities such as lipid modules in asthma and ion modules in myeloid leukemia.\nThe team predicts 2,646 previously unannotated ligand-binding sites and reports wet-lab confirmation of five heme binders, indicating that the representation carries biochemical signal.",
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      "text": "A universal interface model for biology?",
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