Protein and ligand novelty in drug-target interaction prediction: a dual-encoder fusion strategy for more interpretable and generalizable modeling
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Predicting drug-target interactions (DTIs) is a fundamental task in computational drug discovery, where reliable generalization to novel compounds and protein targets is essential for practical virtual screening and drug repurposing. However, most deep learnin... ...
