The identification of drug-target interactions (DTIs) is an essential step in drug discovery. In
vitro experimental methods are expensive, laborious, and time-consuming. Deep learning …

Motivation Identifying drug–target interactions is a crucial step for drug discovery and
design. Traditional biochemical experiments are credible to accurately validate drug–target …

Motivation Drug–target interaction (DTI) prediction refers to the prediction of whether a given
drug molecule will bind to a specific target and thus exert a targeted therapeutic effect …

Background Prediction of drug–target interaction (DTI) is an essential step for drug discovery
and drug reposition. Traditional methods are mostly time-consuming and labor-intensive …

Accurate identification of potential drug–target interactions (DTIs) is a crucial task in drug
development and repositioning. Despite the remarkable progress achieved in recent years …

In silico prediction of drug-target interactions (DTI) is significant for drug discovery be-cause
it can largely reduce timelines and costs in the drug development process. Specifically, deep …

Background Identification of potential drug-target interactions (DTIs) with high accuracy is a
key step in drug discovery and repositioning, especially concerning specific drug targets …

Identifying drug-target interactions (DTIs) is an important step in the process of new drug
discovery and drug repositioning. Accurate predictions for DTIs can improve the efficiency in …

Drug-target interaction (DTI) prediction plays an important role in drug repositioning, drug
discovery, and drug design. In recent years, some DTI prediction methods based on …

Accurate and effective drug–target interaction (DTI) prediction can greatly shorten the drug
development lifecycle and reduce the cost of drug development. In the deep-learning-based …