International Journal on Science and Technology

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Computational Repurposing of Drugs: A Review

Author(s) N. Harikrishna, K. Krishna Mohan, L. Ramesh Kumar
Country India
Abstract Drug repurposing is the modern technology for identifying the new therapeutic property of approved and operational drug. De novo drug discovery faces many challenges including clinical trials, time and cost. To overcome these aspects drug repurposing has evolved as promising approach, that has benefits like previously studied safety profiles and bypassing the early developmental changes and accelerating clinical trials by reducing the cost up to 60%.

"Omics" technologies, computational capabilities imbibed with the artificial intelligence caters the drug repurposing for new targets or pathogens. By using virtual screening, molecular docking, and sequence similarity maps, researchers can identify multiple therapeutic effects by a drug. In the year 2025, 47 drugs were approved by FDA after drug repurposing. Nearly 45% of drugs repurposing activity in 2025 were focused on treatment of cancers. The global scale drug repurposing market has been increasing continuously and reached $36.87 billion in 2025. In this review we focus on how drug repurposing activity enhances the use of approved drug for treatment of variety of diseases or targets.
Keywords Drug Repurposing, FDA, Artificial Intelligence, De novo Drug Discovery, Clinical Trials
Published In Conference / Special Issue (Volume 17 | Issue 1) - One Day National Seminar on “Advances in Life Sciences for Diversity, Applications, and Human Welfare” (ALSDAHW-2025) (March 2026)
Published On 2026-03-16
DOI https://doi.org/10.71097/IJSAT.ALSDAHW-2025.115
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