A medicinal chemistry perspective of drug repositioning: Recent advances and challenges in drug discovery
Open accessAbstract
Drug repurposing is a strategy consisting of finding new indications for already known marketed drugs used in various clinical settings or highly characterized compounds despite they can be failed drugs. Recently, it emerges as an alternative approach for the rapid identification and development of new pharmaceuticals for various rare and complex diseases for which lack the effective drug treatments. The success rate of drugs repurposing approach accounts for approximately 30% of new FDA approved drugs and vaccines in recent years. This review focuses on the status of drugs repurposing approach for various diseases including skin diseases, infective, inflammatory, cancer, and neurodegenerative diseases. Efforts have been made to provide structural features and mode of actions of drugs.
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Drug repurposing can shorten the research timeline for discovering new molecules by approximately 50%-60% by utilizing chemically well-characterized and biologically safe molecules.
“One of the main goals of drug repurposing is to shorten the research timeline for discovering new molecules by approximately 50%–60% by utilizing chemically well‐characterized and biologically safe molecules [91].”
From Statins as Antifungal Agents: A Review on Drug Repurposing and Nanotechnology-Driven Delivery Strategies (2025) · cites this paper as [91]
The Introduction says repurposing uses known drugs or highly characterized compounds and can bypass early development stages, reducing time to market. The Conclusions and perspectives likewise describe established safety and substantial time savings. Neither passage supports the specific 50%–60% reduction, and the paper describes finding new uses for known compounds rather than discovering new molecules. (LLM, conf=0.87)
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“24 Historically, drug repurposing in oncology has largely been driven by either an understanding of the disease pathways or through serendipitous fi ndings.”
BackgroundUtilizing graph machine learning within drug discovery and development
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Drug repurposing: Misconceptions, challenges, and opportunities for academic researchers
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Repurposing drugs for the management of COVID-19
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Self-citationA drug repurposing screening reveals a novel epigenetic activity of hydroxychloroquine
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Attacking COVID-19 Progression Using Multi-Drug Therapy for Synergetic Target Engagement.
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Attacking COVID-19 Progression Using Multi-Drug Therapy for Synergetic Target Engagement
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Drug repurposing strategies and key challenges for COVID-19 management
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An Overview on Taxol Production Technology and Its Applications as Anticancer Agent
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Self-citationSeleno-Analogs of Scaffolds Resembling Natural Products a Novel Warhead toward Dual Compounds
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Genomic-Analysis-Oriented Drug Repurposing in the Search for Novel Antidepressants
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Drug repositioning for Parkinson’s disease: An emphasis on artificial intelligence approaches
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Functional diversification and exaptation: the emergence of new drug uses in the pharma industry
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Utilising Graph Machine Learning within Drug Discovery and DevelopmentPreprint
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Synthesis and Conformational Analysis of Hydantoin-Based Universal Peptidomimetics
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Machine Learning Applications for Drug Repurposing
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Pharmacokinetics and pharmacodynamics analysis of drug candidates
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Current Status on 1,4-Dihydropyridine Derivatives against Human Pathogenic Parasites
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Rutin increases alpha‐tubulin acetylation via histone deacetylase 6 inhibition
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“One of the main goals of drug repurposing is to shorten the research timeline for discovering new molecules by approximately 50%–60% by utilizing chemically well-characterized and biologically safe molecules [91].”
Anti-aging and immunomodulatory role of caffeine in Drosophila larvae
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Small Molecule-Based Enzyme Inhibitors in the Treatment of Primary Hyperoxalurias
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CADD Approaches in Anticancer Drug Discovery
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Long-range action of an HDAC inhibitor treats chronic pain in a spared nerve injury rat modelPreprint
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Advances in the approaches used to repurpose drugs for neuroblastoma
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- Authors
- Pillaiyar, T., Meenakshisundaram, S., Manickam, M., & Sankaranarayanan, M.
- Affiliations
- University of Bonn (DE)
- PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH (IN)
- Corresponding author
- Pillaiyar, Thanigaimalai
- Venue
- European Journal of Medicinal Chemistry
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 195
- Pages
- 112275
- ISSN
- 0223-5234 (ISSN-L)
- PMC
- PMC7156148
- OpenAlex
- W3013498471
- Cited by
- 140
- References
- 202
- Citations by year
- 2026: 13 · 2025: 25 · 2024: 18 · 2023: 25 · 2022: 26 · 2021: 15 · 2020: 17 · 2019: 1
- FWCI
- 1.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Medicinal Chemistry (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- PSG
- PSG Institute of Technology and Applied Research
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Historical Medical Research and Treatments
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Keywords
- drug repurposing, marketed drugs, rare diseases, skin diseases, infectious diseases, inflammatory diseases, cancer, neurodegenerative diseases, structural features, mechanism of action
- MeSH terms
- Animals, Chemistry, Pharmaceutical, Humans, Drug Discovery, Drug Repositioning
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