(R)-2-Methyl-1-(4-(trifluoromethyl)phenyl)propan-1-amine hydrochloride
95%
- Product Code: 55209
CAS:
1391423-72-5
| Molecular Weight: | 253.6917 g./mol | Molecular Formula: | C₁₁H₁₅ClF₃N |
|---|---|---|---|
| EC Number: | MDL Number: | MFCD12757307 | |
| Melting Point: | Boiling Point: | ||
| Density: | Storage Condition: | room temperature |
Product Description:
This compound is primarily utilized in the field of medicinal chemistry as a key intermediate in the synthesis of pharmaceutical agents. It is particularly significant in the development of drugs targeting the central nervous system, where its structural properties contribute to the modulation of neurotransmitter activity. The compound's trifluoromethyl group enhances its binding affinity to specific receptors, making it valuable in the design of compounds with potential antidepressant or anxiolytic effects. Additionally, it is employed in research settings to study the pharmacological properties of amine-based compounds, aiding in the discovery of new therapeutic candidates. Its application extends to the optimization of drug candidates for improved efficacy and reduced side effects.
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.100 | 10-20 days | ฿13,554.00 |
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(R)-2-Methyl-1-(4-(trifluoromethyl)phenyl)propan-1-amine hydrochloride
This compound is primarily utilized in the field of medicinal chemistry as a key intermediate in the synthesis of pharmaceutical agents. It is particularly significant in the development of drugs targeting the central nervous system, where its structural properties contribute to the modulation of neurotransmitter activity. The compound's trifluoromethyl group enhances its binding affinity to specific receptors, making it valuable in the design of compounds with potential antidepressant or anxiolytic effects. Additionally, it is employed in research settings to study the pharmacological properties of amine-based compounds, aiding in the discovery of new therapeutic candidates. Its application extends to the optimization of drug candidates for improved efficacy and reduced side effects.
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