4-(1-Methylazetidin-3-yl)aniline
98%
- Product Code: 46087
CAS:
1785022-35-6
| Molecular Weight: | 162.2316 g./mol | Molecular Formula: | C₁₀H₁₄N₂ |
|---|---|---|---|
| EC Number: | MDL Number: | MFCD28516920 | |
| 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 various pharmaceutical agents. Its structure, featuring both an aniline and an azetidine moiety, makes it a versatile building block for designing molecules with potential biological activity. It is often employed in the development of compounds targeting central nervous system disorders, including antipsychotic and antidepressant drugs. Additionally, its unique chemical framework is explored in the creation of ligands for receptors involved in pain management and inflammation. Researchers also investigate its use in the synthesis of inhibitors for enzymes or proteins implicated in diseases such as cancer. Its application extends to the optimization of drug candidates for improved pharmacokinetic properties and therapeutic efficacy.
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.100 | 10-20 days | ฿7,812.00 |
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4-(1-Methylazetidin-3-yl)aniline
This compound is primarily utilized in the field of medicinal chemistry as a key intermediate in the synthesis of various pharmaceutical agents. Its structure, featuring both an aniline and an azetidine moiety, makes it a versatile building block for designing molecules with potential biological activity. It is often employed in the development of compounds targeting central nervous system disorders, including antipsychotic and antidepressant drugs. Additionally, its unique chemical framework is explored in the creation of ligands for receptors involved in pain management and inflammation. Researchers also investigate its use in the synthesis of inhibitors for enzymes or proteins implicated in diseases such as cancer. Its application extends to the optimization of drug candidates for improved pharmacokinetic properties and therapeutic efficacy.
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