%0 Journal Article
%T Computational biology approaches for drug repurposing.
%A Waseem T
%A Rajput TA
%A Mushtaq MS
%A Babar MM
%A Rajadas J
%J Prog Mol Biol Transl Sci
%V 205
%N 0
%D 2024
%M 38789189
%F 4.025
%R 10.1016/bs.pmbts.2024.03.018
%X The drug discovery and development (DDD) process greatly relies on the data available in various forms to generate hypotheses for novel drug design. The complex and heterogeneous nature of biological data makes it difficult to utilize or gather meaningful information as such. Computational biology techniques have provided us with opportunities to better understand biological systems through refining and organizing large amounts of data into actionable and systematic purviews. The drug repurposing approach has been utilized to overcome the expansive time periods and costs associated with traditional drug development. It deals with discovering new uses of already approved drugs that have an established safety and efficacy profile, thereby, requiring them to go through fewer development phases. Thus, drug repurposing through computational biology provides a systematic approach to drug development and overcomes the constraints of traditional processes. The current chapter covers the basics, approaches and tools of computational biology that can be employed to effectively develop repurposing profile of already approved drug molecules.