The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Toward better drug repositioning: prioritizing and integrating existing methods into efficient pipelines
Open accessAbstract
Recycling old drugs, rescuing shelved drugs and extending patents' lives make drug repositioning an attractive form of drug discovery. Drug repositioning accounts for approximately 30% of the newly US Food and Drug Administration (FDA)-approved drugs and vaccines in recent years. The prevalence of drug-repositioning studies has resulted in a variety of innovative computational methods for the identification of new opportunities for the use of old drugs. Questions often arise from customizing or optimizing these methods into efficient drug-repositioning pipelines for alternative applications. It requires a comprehensive understanding of the available methods gained by evaluating both biological and pharmaceutical knowledge and the elucidated mechanism-of-action of drugs. Here, we provide guidance for prioritizing and integrating drug-repositioning methods for specific drug-repositioning pipelines.
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Cited by
Drug repurposing: a promising tool to accelerate the drug discovery process
Parvathaneni, V., Kulkarni, N. S., Muth, A., & Gupta, V. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.06.014 · Cited by 597
Drug repurposing for cancer therapy
Xia, Y., Sun, M., Huang, H., & Jin, W.-L. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01808-1 · Cited by 443
Drug repurposing in oncology—patient and health systems opportunities
Bertolini, F., Sukhatme, V. P., & Bouche, G. (2015) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2015.169 · Cited by 294
Drug repurposing: a systematic review on root causes, barriers and facilitators
Krishnamurthy, N., Grimshaw, A. A., Axson, S. A., Choe, S. H., & Miller, J. E. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08272-z · Cited by 279
Exploration of databases and methods supporting drug repurposing: a comprehensive survey
Tanoli, Z., Seemab, U., Scherer, A., Wennerberg, K., Tang, J., & Vähä-Koskela, M. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa003 · Cited by 131
Metadata
- Authors
- Jin, G., & Wong, S. T. C.
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 19
- Issue
- 5
- Pages
- 637-644
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2012746420
- Cited by
- 416
- References
- 63
- FWCI
- 25.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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