The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance,
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …

One of the main problems with the joint use of multiple drugs is that it may cause adverse
drug interactions and side effects that damage the body. Therefore, it is important to predict …

Detecting drug–drug interactions (DDIs) is an essential step in drug development and drug
administration. Given the shortcomings of current experimental methods, the machine …

How to produce expressive molecular representations is a fundamental challenge in
artificial intelligence-driven drug discovery. Graph neural network (GNN) has emerged as a …

Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged
as a threat to medicine and public health. Despite the continuous information accumulation …

Background The treatment of complex diseases by taking multiple drugs becomes
increasingly popular. However, drug-drug interactions (DDIs) may give rise to the risk of …

Drug repositioning is proposed to find novel usages for existing drugs. Among many types of
drug repositioning approaches, predicting drug–drug interactions (DDIs) helps explore the …

Drug-drug interactions (DDIs) are crucial for public health and patient safety, which has
aroused widespread concern in academia and industry. The existing computational DDI …

Drug-drug interactions (DDI) may lead to unexpected side effects, which is a growing
concern in both academia and industry. Many DDIs have been reported, but the underlying …

Drug–drug interaction (DDI) often causes serious adverse reactions and thus results in
inestimable economic and social loss. Currently, comprehensive DDI evaluation has …