The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Polypharmacology: drug discovery for the future
Open accessAbstract
In recent years, even with remarkable scientific advancements and a significant increase of global research and development spending, drugs are frequently withdrawn from markets. This is primarily due to their side effects or toxicities. Drug molecules often interact with multiple targets, coined as polypharmacology, and the unintended drug-target interactions could cause side effects. Polypharmacology remains one of the major challenges in drug development, and it opens novel avenues to rationally design the next generation of more effective, but less toxic, therapeutic agents. This review outlines the latest progress and challenges in polypharmacology studies.
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Cites
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Artificial intelligence in drug discovery and development
Paul, D., Sanap, G., Shenoy, S., Kalyane, D., Kalia, K., & Tekade, R. K. (2021) · Drug Discovery Today · doi:10.1016/j.drudis.2020.10.010 · Cited by 1,695
Polypharmacology: Challenges and Opportunities in Drug Discovery: Miniperspective
Anighoro, A., Bajorath, J., & Rastelli, G. (2014) · Journal of Medicinal Chemistry · doi:10.1021/jm5006463 · Cited by 1,131
Artificial intelligence in drug development: Present status and future prospects
Mak, K.-K., & Pichika, M. R. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2018.11.014 · Cited by 1,018
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
Polypharmacology – Foe or Friend?
Peters, J.-U. (2013) · Journal of Medicinal Chemistry · doi:10.1021/jm400856t · Cited by 465
Metadata
- Authors
- Reddy, A. S., & Zhang, S.
- Venue
- Expert Review of Clinical Pharmacology
- Publisher
- Informa UK Limited
- Published
- 2013-01
- Volume
- 6
- Issue
- 1
- Pages
- 41-47
- ISSN
- 1751-2433 (ISSN-L)
- 1751-2441
- OpenAlex
- W2127587566
- Cited by
- 479
- References
- 8
- FWCI
- 15.27
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
