Twin cross contrastive learning with multi-modality fusion for drug-target affinity prediction
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Accurate prediction of drug-target binding affinity (DTA) can provide valuable insights for accelerating drug discovery and repositioning. While deep learning has demonstrated remarkable progress in facilitating DTA prediction, most existing methods fail to ad... ...
