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 repositioning is a rapidly growing strategy in drug discovery, as the time and cost
needed are considerably less compared to developing new drugs. In addition to traditional …

Computational drug repositioning is an effective way to find new indications for existing
drugs, thus can accelerate drug development and reduce experimental costs. Recently …

Computational drug repositioning is essential in drug discovery and development. The
previous methods basically utilized matrix calculation. Although they had certain effects, they …

Drug repositioning, the strategy of redirecting existing drugs to new therapeutic purposes, is
pivotal in accelerating drug discovery. While many studies have engaged in modeling …

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 …

The computational prediction of novel drug-target interactions (DTIs) may effectively speed
up the process of drug repositioning and reduce its costs. Most previous methods integrated …

In silico reuse of old drugs (also known as drug repositioning) to treat common and rare
diseases is increasingly becoming an attractive proposition because it involves the use of de …

Drug repositioning is an application-based solution based on mining existing drugs to find
new targets, quickly discovering new drug-disease associations, and reducing the risk of …

Compared with traditional methods, drug repositioning is a viable solution to drug discovery.
Drug repositioning usually applies the procedure of drug-disease associations (DDAs) …