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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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“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]
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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
Gaudelet, T., Day, B., Jamasb, A. R., Soman, J., Regep, C., Liu, G., Hayter, J. B. R., Vickers, R., Roberts, C., Tang, J., et al. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab159 · Cited by 313
Hung, S. W., Zhang, R., Tan, Z., Chung, J. P. W., Zhang, T., & Wang, C. C. (2021) · Medicinal Research Reviews · doi:10.1002/med.21802 · Cited by 175
Drug repurposing: Misconceptions, challenges, and opportunities for academic researchers
Begley, C. G., Ashton, M. R., Baell, J. B., Bettess, M. D., Brown, M. P., Carter, B. A., Charman, W. N., Davis, C., Fisher, S., Frazer, I. H., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abd5524 · Cited by 164
Utilizing drug repurposing against COVID-19 – Efficacy, limitations, and challenges
Parvathaneni, V., & Gupta, V. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.118275 · Cited by 138
Metadata
- 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
- 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
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Health Sciences › Medicine › Pharmacology (medical) › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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