ABSTRACT
The translation of research findings into new approved drugs takes a vast amount of time and effort and also costs so high. Due to these obstacles and delays in the development of novel drugs, drug repurposing (DR) has been inspired to transform the traditional process of drug discovery and also ameliorate the low possibility of success. To diminish the cost and durability, the insilico activities have received primary attention. The availability of the wealth of data on drugs makes DR a fastest and low-cost process to find new therapeutic indications. DR is the procedure to find new indications of existing drugs. The drugs approved for other diseases are already tested in humans, which provide detailed information on their formulation, pharmacology, and toxicity. Several computational tools are also available for the integration, analysis, and visualization of experimental information derived from various sources. Tools such asrepoDB, RE:fine Drugs, RepurposeDB, DrugSig, and deep DR are well known for DR. In this chapter, we will discuss all the well-recognized bioinformatics approaches for DR.
