MolRes-DTA: a molecular-multiview fusion and residue-aware model for drug–target affinity prediction

Key Points

• The aim is to enhance the accuracy of drug-target affinity predictions using molecular-fusion techniques.
• Developed a multiview fusion model for integration of molecular data.
• Incorporated residue awareness into the prediction model.
• Evaluated model performance against existing deep learning methods.
• The model showed improved accuracy in drug-target affinity predictions compared to previous methods.
• It successfully streamlined the drug screening process, indicating potential cost reductions in drug development.