ISSN: 0974-276X
Biology Department, Embibe Individual Learning Limited, Bangalore, India
Mini Review
Computational Insights into Drug Repurposing: A Brief Review
Author(s): Surajit Bal and Rathi Dasgupta*
The COVID-19 pandemic has triggered a surge in the reutilization of established medications, albeit the
underlying evidentiary foundation varies. Drug reutilization involves repurposing known drugs or drug
combinations for unforeseen medical contexts. Consequently, it plays a crucial role in expediting the pre-
clinical phase of developing novel drugs, offering time and cost savings compared to traditional drug discovery.
Given that drug reuse relies on extensive data from existing drugs and diseases, the substantial proliferation of
publicly accessible, large-scale machine learning techniques represents cutting-edge data science applications for
disease identification, therapeutics and target discovery, minimizing errors. In this write-up, we have explored
different computational databases, techniques and methodologies, as well as possibilities, for harnessing
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DOI:
10.35248/0974-276X.24.17.661