The DOI matches its Crossref record; 216 of the 216 references it cites were found in a registry or an index.
GSK-3 Inhibitors: Preclinical and Clinical Focus on CNS
Open accessAbstract
Inhibiting glycogen synthase kinase-3 (GSK-3) activity via pharmacological intervention has become an important strategy for treating neurodegenerative and psychiatric disorders. The known GSK-3 inhibitors are of diverse chemotypes and mechanisms of action and include compounds isolated from natural sources, cations, synthetic small-molecule ATP-competitive inhibitors, non-ATP-competitive inhibitors, and substrate-competitive inhibitors. Here we describe the variety of GSK-3 inhibitors with a specific emphasis on their biological activities in neurons and neurological disorders. We further highlight our current progress in the development of non-ATP-competitive inhibitors of GSK-3. The available data raise the hope that one or more of these drug design approaches will prove successful at stabilizing or even reversing the aberrant neuropathology and cognitive deficits of certain central nervous system disorders.
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Targeting hepatic glucose metabolism in the treatment of type 2 diabetes
Rines, A. K., Sharabi, K., Tavares, C. D. J., & Puigserver, P. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.151 · Cited by 375
GSK-3 and tau: a key duet in Alzheimer’s disease
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BACE1 inhibitors: Current status and future directions in treating Alzheimer's disease
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Metadata
- Authors
- Eldar-Finkelman, H., & Martinez, A.
- Venue
- Frontiers in Molecular Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2011
- Volume
- 4
- Pages
- 32-32
- ISSN
- 1662-5099 (ISSN-L)
- OpenAlex
- W1975257189
- Cited by
- 354
- References
- 216
- FWCI
- 10.59
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
