Drug Repurposing an Effective Tool in Modern Drug Discovery

Drug repurposing is using an existing drug for a new treatment that was not indicated before. It has received immense attention during theCOVID-19 pandemic emergency. Drug repurposing has become the need of time to fasten the drug discovery process and find quickersolutionsto the over- exerted healthcare scenario and drug needs. Drug repurposing involve side notifying the drug, evaluatingits efficiency using preclinical models, and proceeding to phase II clinical trials. Identification of the drug candidate can be made through computational and experimental approaches. This approach usually utilizes public databasesfor drugs. Data from primary and translational research, clinical trials, anecdotalreportsregarding off label uses, and other published human data information available are included. Using artificial intelligence algorithms and other bioinformaticstools, investigat or ssystematically try to identify the interaction between drugs and protein targets. It can be combined with genetic data, clinical analysis, structure (molecular docking), pathways, signatures, targets, phenotypes, binding assays, and artificial intelligence to get an optimum outcome in repurposing. This article describes the strategiesinvolved in drug repurposing and enlists a series of repurposed drugs and their indications.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15432770
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Drug Repurposing an Effective Tool in Modern Drug Discovery

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

Drug Repurposing an Effective Tool in Modern Drug Discovery

article en

Abstract

Drug repurposing is using an existing drug for a new treatment that was not indicated before. It has received immense attention during theCOVID-19 pandemic emergency. Drug repurposing has become the need of time to fasten the drug discovery process and find quickersolutionsto the over- exerted healthcare scenario and drug needs. Drug repurposing involve side notifying the drug, evaluatingits efficiency using preclinical models, and proceeding to phase II clinical trials. Identification of the drug candidate can be made through computational and experimental approaches. This approach usually utilizes public databasesfor drugs. Data from primary and translational research, clinical trials, anecdotalreportsregarding off label uses, and other published human data information available are included. Using artificial intelligence algorithms and other bioinformaticstools, investigat or ssystematically try to identify the interaction between drugs and protein targets. It can be combined with genetic data, clinical analysis, structure (molecular docking), pathways, signatures, targets, phenotypes, binding assays, and artificial intelligence to get an optimum outcome in repurposing. This article describes the strategiesinvolved in drug repurposing and enlists a series of repurposed drugs and their indications.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 56%
Computational Drug Discovery Methods
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Drug Repurposing an Effective Tool in Modern Drug Discovery · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS