The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Cucurbitacins - An insight into medicinal leads from nature
Open accessAbstract
Cucurbitacins which are structurally diverse triterpenes found in the members of Cucurbitaceae and several other plant families possess immense pharmacological potential. This diverse group of compounds may prove to be important lead molecules for future research. Research focused on these unattended medicinal leads from the nature can prove to be of immense significance in generating scientifically validated data with regard to their efficacy and possible role in various diseases. This review is aimed to provide an insight into the chemical nature and medicinal potential of these compounds exploring their proposed mode of action, probable molecular targets and to have an outlook on future directions of their use as medicinal agents.
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Cites
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Cited by
Yuan, R., Zhao, W., Wang, Q.-Q., He, J., Han, S., Gao, H., Feng, Y., & Yang, S. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.105748 · Cited by 265
Evaluation of acute and sub-chronic toxicity of bitter melon seed extract in Wistar rats
Chung, W.-Y., Jadhav, S., Hsu, P.-K., & Kuan, C.-M. (2022) · Toxicology Reports · doi:10.1016/j.toxrep.2022.04.024 · Cited by 19
Metadata
- Authors
- Aeri, V., Kaushik, U., & Mir, S.
- Venue
- Pharmacognosy Reviews
- Publisher
- Manuscript Technomedia LLP
- Published
- 2015
- Volume
- 9
- Issue
- 17
- Pages
- 12
- ISSN
- 0973-6581 (ISSN-L)
- 0973-7847
- OpenAlex
- W1507146289
- Cited by
- 252
- References
- 30
- FWCI
- 3.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Aeri, V., Kaushik, U., & Mir, S. (2015). Cucurbitacins - An insight into medicinal leads from nature. Pharmacognosy Reviews. https://doi.org/10.4103/0973-7847.156314
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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.
