:
Drug Repurposing (DR) is an alternative to the traditional drug discovery process. It is cost and time effective,
with high returns and low risk process that can tackle the increasing need for interventions for varied diseases and new outbreaks. Repurposing of old drugs for other diseases has gained a wider attention, as there have been several old drugs approved by FDA for new diseases. In the global emergency of COVID19 pandemic, this is one of the strategies implemented
in repurposing of old anti-infective, anti-rheumatic and anti-thrombotic drugs. The goal of the current review is to elaborate
the process of DR, its advantages, repurposed drugs for a plethora of disorders, and the evolution of related academic publications. Further, detailed are the computational approaches: literature mining and semantic inference, network-based drug
repositioning, signature matching, retrospective clinical analysis, molecular docking and experimental phenotypic screening.
We discuss the legal and economical potential barriers in DR, existent collaborative models and recommendations for overcoming these hurdles and leveraging the complete potential of DR in finding new indications.
A Fuzzy Radial Basis Inference Network with Grouped Signal Feature Embedding and its Application in Multi-source Signals Classification
