The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.
An overview of spirooxindole as a promising scaffold for novel drug discovery
Abstract
Introduction: Spirooxindole, a unique and versatile scaffold, has been widely studied in some fields such as pharmaceutical chemistry and synthetic chemistry. Especially in the application of medicine, quite a few compounds featuring spirooxindole motif have displayed excellent and broad pharmacological activities. Many identified candidate molecules have been used in clinical trials, showing promising prospects.Areas covered: This article offers an overview of different applications and developments of spirooxindoles (including the related natural products and their derivatives) in the process of drug innovation, including such as in anticancer, antimicrobial, anti–inflammatory, analgesic, antioxidant, antimalarial, and antiviral activities. Furthermore, the crucial structure-activity relationships, molecular mechanisms, pharmacokinetic properties, and main synthetic methods of spirooxindoles-based derivatives are also reviewed.Expert opinion: Recent progress in the biological activity profiles of spirooxindole derivatives have demonstrated their significant position in present-day drug discovery. Furthermore, we believe that the multidirectional development of novel drugs containing this core scaffold will continue to be the research hotspot in medicinal chemistry in the future.
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Metadata
- Authors
- Zhou, L.-M., Qu, R.-Y., & Yang, G.-F.
- Venue
- Expert Opinion on Drug Discovery
- Publisher
- Informa UK Limited
- Published
- 2020-02-28
- Volume
- 15
- Issue
- 5
- Pages
- 603-625
- ISSN
- 1746-0441 (ISSN-L)
- 1746-045X
- OpenAlex
- W3007366778
- Cited by
- 316
- References
- 136
- FWCI
- 14.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhou, L.-M., Qu, R.-Y., & Yang, G.-F. (2020). An overview of spirooxindole as a promising scaffold for novel drug discovery. Expert Opinion on Drug Discovery. https://doi.org/10.1080/17460441.2020.1733526
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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