Drug repurposing or repositioning (DR) refers to finding new therapeutic applications for
existing drugs. Current computational DR methods face data representation and negative …

Drug-drug interaction (DDI) prediction is a challenging problem in pharmacology and
clinical application, and effectively identifying potential D-DIs during clinical trials is critical …

Drug repositioning, the identification of novel uses of existing therapies, has become an
attractive strategy to accelerate drug development. Knowledge graphs (KGs) have emerged …

We aimed to develop and validate a new graph embedding algorithm for embedding drug-
disease-target networks to generate novel drug repurposing hypotheses. Our model …

Millions of Americans are affected by rare diseases, many of which have poor survival rates.
However, the small market size of individual rare diseases, combined with the time and …

Drug repositioning-a promising strategy for discovering new therapeutic uses for existing
drugs-has been increasingly explored in the computational science literature using …

In the last decades, people have been consuming and combining more drugs than before,
increasing the number of Drug-Drug Interactions (DDIs). To predict unknown DDIs, recently …

Background Drug repurposing aims at finding new targets for already developed drugs. It
becomes more relevant as the cost of discovering new drugs steadily increases. To find new …

Drug discovery is of great significance in medical and biological research, while the study of
Drug-Target Interaction (DTI) and Drug-Drug Interaction (DDI) can help accelerate drug …

The emergence of large-scale phenotypic, genetic, and other multi-model biochemical data
has offered unprecedented opportunities for drug discovery including drug repurposing …