MAIDTA: an interpretable attention-based multi-modal model for drug-target affinity prediction.
High-performance computer-aided drug design is a promising field, in which drug-target affinity (DTA) prediction serves as a core step to reduce R&D costs and improve efficiency. However, current DTA methods suffer from insufficient multi-modal representation and lack interpretability. We propose MAIDTA, an interpretab...