N-(2-fluorobenzyl)cyclopropanamine hydrochloride
95%
- Product Code: 73376
CAS:
1982270-12-1
Molecular Weight: | 201.67 g./mol | Molecular Formula: | C₁₀H₁₃ClFN |
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EC Number: | MDL Number: | MFCD28558830 | |
Melting Point: | Boiling Point: | ||
Density: | Storage Condition: | Room temperature, sealed, dry |
Product Description:
This compound is primarily utilized in pharmaceutical research and development, particularly in the synthesis of novel therapeutic agents. Its structure, featuring a cyclopropane ring and a fluorobenzyl group, makes it a valuable intermediate in the design of compounds targeting neurological disorders. It is often explored for its potential as a precursor in the creation of drugs that modulate neurotransmitter systems, such as serotonin or dopamine receptors, due to its ability to interact with specific binding sites in the brain. Additionally, its fluorinated aromatic moiety enhances its metabolic stability, making it a candidate for further optimization in drug discovery pipelines. Researchers also investigate its application in the development of selective enzyme inhibitors, particularly in the context of treating mood disorders or neurodegenerative diseases.
Sizes / Availability / Pricing:
Size (g) | Availability | Price | Quantity |
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0.100 | 10-20 days | ฿9,234.00 |
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0.250 | 10-20 days | ฿22,158.00 |
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N-(2-fluorobenzyl)cyclopropanamine hydrochloride
This compound is primarily utilized in pharmaceutical research and development, particularly in the synthesis of novel therapeutic agents. Its structure, featuring a cyclopropane ring and a fluorobenzyl group, makes it a valuable intermediate in the design of compounds targeting neurological disorders. It is often explored for its potential as a precursor in the creation of drugs that modulate neurotransmitter systems, such as serotonin or dopamine receptors, due to its ability to interact with specific binding sites in the brain. Additionally, its fluorinated aromatic moiety enhances its metabolic stability, making it a candidate for further optimization in drug discovery pipelines. Researchers also investigate its application in the development of selective enzyme inhibitors, particularly in the context of treating mood disorders or neurodegenerative diseases.
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