GNF179 Metabolite
98%
- Product Code: 100707
CAS:
1310455-86-7
| Molecular Weight: | 245.3 g./mol | Molecular Formula: | C₁₄H₁₆FN₃ |
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| Density: | Storage Condition: | 2-8℃ |
Product Description:
GNF179 Metabolite is primarily utilized in the field of biomedical research, particularly in studies focused on understanding metabolic pathways and drug interactions. It serves as a key compound in investigating the efficacy and safety of pharmaceuticals, especially those targeting metabolic disorders. Researchers employ it to analyze how drugs are processed and transformed within biological systems, providing insights into potential metabolites that could influence therapeutic outcomes or cause adverse effects. Additionally, it plays a role in the development of biomarkers for disease diagnosis and monitoring, aiding in the identification of metabolic signatures associated with specific health conditions. Its application extends to preclinical studies, where it helps in optimizing drug formulations and predicting human metabolic responses based on experimental models.
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.002 | 10-20 days | ฿22,257.00 |
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| 0.005 | 10-20 days | ฿33,390.00 |
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GNF179 Metabolite
GNF179 Metabolite is primarily utilized in the field of biomedical research, particularly in studies focused on understanding metabolic pathways and drug interactions. It serves as a key compound in investigating the efficacy and safety of pharmaceuticals, especially those targeting metabolic disorders. Researchers employ it to analyze how drugs are processed and transformed within biological systems, providing insights into potential metabolites that could influence therapeutic outcomes or cause adverse effects. Additionally, it plays a role in the development of biomarkers for disease diagnosis and monitoring, aiding in the identification of metabolic signatures associated with specific health conditions. Its application extends to preclinical studies, where it helps in optimizing drug formulations and predicting human metabolic responses based on experimental models.
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