The task of predicting the interactions between drugs and targets plays a key role in the
process of drug discovery. There is a need to develop novel and efficient prediction …

Motivation The task of predicting drug–target interactions (DTIs) plays a significant role in
facilitating the development of novel drug discovery. Compared with laboratory-based …

In medicine research, drug discovery aims to develop a drug to patients who will benefit from
it and try to avoid some side effects. However, the tradition experiment is time consuming …

Drug–target interactions (DTIs) play a crucial role in target-based drug discovery and
development. Computational prediction of DTIs can effectively complement experimental …

In drug discovery, drug-target interaction (DTI) plays a crucial role. Identifying DTI in a wet-
lab experiment is time-consuming, labor-intensive, and costly. Using reliable computational …

Existing drug-target interaction (DTI) prediction methods generally fail to generalize well to
novel (unseen) proteins and drugs. In this study, we propose a protein-specific meta …

Identifying drug-target interactions (DTIs) is an important step for drug discovery and drug
repositioning. To reduce the experimental cost, a large number of computational …

Drug target interaction prediction is a crucial stage in drug discovery. However, brute-force
search over a compound database is financially infeasible. We have witnessed the …

Predicting the interaction between drugs and targets is a crucial step in drug development,
and computer-based deep learning approaches have the potential to significantly reduce …