WAY-607053
98%
- Product Code: 245842
Alias:
3-((5-methylfuran-2-yl)methylene)indole-2-one
CAS:
64259-05-8
| Molecular Weight: | 225.24 g./mol | Molecular Formula: | C₁₄H₁₁NO₂ |
|---|---|---|---|
| EC Number: | MDL Number: | MFCD03481479 | |
| Melting Point: | Boiling Point: | ||
| Density: | Storage Condition: | -20°C |
Product Description:
WAY-607053 is primarily used in scientific research to study the cannabinoid system, particularly as a selective antagonist for the CB2 receptor. This makes it a valuable tool in investigating immune system modulation, inflammation, and pain pathways, as CB2 receptors are involved in these physiological processes. Researchers use WAY-607053 to help differentiate the roles of CB2 from CB1 receptors, especially in models of neuroinflammation and autoimmune diseases. It has also been employed in preclinical studies to explore potential therapeutic targets for conditions such as chronic pain, multiple sclerosis, and inflammatory bowel disease. Due to its selectivity, it aids in minimizing off-target effects in experimental models, improving the accuracy of pharmacological assessments.
Sizes / Availability / Pricing:
| Size | Availability | Price | Quantity |
|---|---|---|---|
| 0.005 | 10-20 days | $207.88 |
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| 0.010 | 10-20 days | $341.43 |
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| 0.025 | 10-20 days | $675.30 |
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WAY-607053
WAY-607053 is primarily used in scientific research to study the cannabinoid system, particularly as a selective antagonist for the CB2 receptor. This makes it a valuable tool in investigating immune system modulation, inflammation, and pain pathways, as CB2 receptors are involved in these physiological processes. Researchers use WAY-607053 to help differentiate the roles of CB2 from CB1 receptors, especially in models of neuroinflammation and autoimmune diseases. It has also been employed in preclinical studies to explore potential therapeutic targets for conditions such as chronic pain, multiple sclerosis, and inflammatory bowel disease. Due to its selectivity, it aids in minimizing off-target effects in experimental models, improving the accuracy of pharmacological assessments.
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