Drug-disease association prediction is an important part of drug discovery, which can help
researchers uncover potential drug candidates and disease targets more accurately to deal …

Drug repurposing offers a viable strategy for discovering new drugs and therapeutic targets
through the analysis of drug–gene interactions. However, traditional experimental methods …

Drug combination therapies are well-established strategies for the treatment of cancer with
low toxicity and fewer adverse effects. Computational drug synergy prediction approaches …

This study introduces a dataset for drug-bacteria associations (DBA) that affects humans.
Our contribution extends beyond merely curating the association matrix; we also conduct …

Drug substructure plays a crucial role in predicting drug-drug interaction (DDI) with
combination drugs for disease therapies. In order to exploit the effect of drug substructure on …