GMPNN-CS++: A Novel Dual-Contrasting Framework for Drug-Drug Interaction Prediction
Drug-drug interactions (DDIs) occur when multiple drugs react with each other when taken together. They can lead to unintended side effects that may be harmful to patients. Developing an efficient and accurate computational model for DDI predictions is highly important to assist healthcare professionals in making better prescription decisions. Model Architecture The proposed GMPNN-CS++ model employs the Self-attention mechanism and a residual memory network after GMPNN-CS’s message-passing module to enhance the extracted representation of cross-substructure pairs within two interacting drug molecules. ...