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Cited by 373

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Therapeutic Potential of Boron-Containing Compounds

Baker, Stephen J, Ding, Charles Z, Akama, Tsutomu, Zhang, Yong-Kang, Hernandez, Vincent, Xia, Yi·2009·Future Medicinal Chemistry

Abstract

Relative to carbon, hydrogen, nitrogen and oxygen, very little is currently known about boron in therapeutics. In addition, there are very few boron-containing natural products identified to date to serve as leads for medicinal chemists. Perceived risks of using boron and lack of synthetic methods to handle boron-containing compounds have caused the medicinal chemistry community to shy away from using the atom. However, physical, chemical and biological properties of boron offer medicinal chemists a rare opportunity to explore and pioneer new areas of drug discovery. Boron therapeutics are emerging that show different modes of inhibition against a variety of biological targets. With one boron-containing therapeutic agent on the market and several more in various stages of clinical trials, the occurrence of this class of compound is likely to grow over the next decade and boron could become widely accepted as a useful element in future drug discovery.

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Metadata

Authors
Baker, S. J., Ding, C. Z., Akama, T., Zhang, Y.-K., Hernandez, V., & Xia, Y.
Venue
Future Medicinal Chemistry
Published
2009-10
Volume
1
Issue
7
Pages
1275-1288
ISSN
  • 1756-8919 (ISSN-L)
  • 1756-8927
OpenAlex
W2152933949
Cited by
373
References
48
FWCI
6.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Therapeutic Potential of Boron-Containing Compounds. https://app.cochat.ai/papers/10.4155/fmc.09.71
The paper
Baker, S. J., Ding, C. Z., Akama, T., Zhang, Y.-K., Hernandez, V., & Xia, Y. (2009). Therapeutic Potential of Boron-Containing Compounds. Future Medicinal Chemistry. https://doi.org/10.4155/fmc.09.71

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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.