GNF179
98%
- Product Code: 100708
CAS:
1261114-01-5
| Molecular Weight: | 427.9 g./mol | Molecular Formula: | C₂₂H₂₃ClFN₅O |
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| Density: | Storage Condition: | 2-8℃ |
Product Description:
GNF179 is primarily used in research settings as a potent and selective inhibitor of the enzyme GSK-3β (glycogen synthase kinase 3 beta). This enzyme plays a critical role in various cellular processes, including metabolism, cell signaling, and apoptosis. By inhibiting GSK-3β, GNF179 is utilized to study its effects on pathways related to neurodegenerative diseases, such as Alzheimer's disease, where GSK-3β activity is often dysregulated. Additionally, it is employed in investigations of cancer biology, as GSK-3β is implicated in tumor growth and survival. Researchers also use GNF179 to explore its potential in modulating insulin signaling and glucose metabolism, which could have implications for diabetes research. Its application extends to understanding the role of GSK-3β in inflammation and immune responses, making it a valuable tool in preclinical studies.
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.002 | 10-20 days | ฿18,333.00 |
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| 0.005 | 10-20 days | ฿27,513.00 |
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GNF179
GNF179 is primarily used in research settings as a potent and selective inhibitor of the enzyme GSK-3β (glycogen synthase kinase 3 beta). This enzyme plays a critical role in various cellular processes, including metabolism, cell signaling, and apoptosis. By inhibiting GSK-3β, GNF179 is utilized to study its effects on pathways related to neurodegenerative diseases, such as Alzheimer's disease, where GSK-3β activity is often dysregulated. Additionally, it is employed in investigations of cancer biology, as GSK-3β is implicated in tumor growth and survival. Researchers also use GNF179 to explore its potential in modulating insulin signaling and glucose metabolism, which could have implications for diabetes research. Its application extends to understanding the role of GSK-3β in inflammation and immune responses, making it a valuable tool in preclinical studies.
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