Methyl 4-amino-3-(hydroxymethyl)benzoate
97%
- Product Code: 46964
CAS:
76143-02-7
| Molecular Weight: | 181.19 g./mol | Molecular Formula: | C₉H₁₁NO₃ |
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| EC Number: | MDL Number: | MFCD29762438 | |
| Melting Point: | Boiling Point: | ||
| Density: | Storage Condition: | 2-8°C, protected from light, stored in an inert gas |
Product Description:
This chemical is primarily used in the synthesis of pharmaceutical compounds, particularly as an intermediate in the production of active pharmaceutical ingredients (APIs). Its structure, featuring both amino and hydroxymethyl groups, makes it a versatile building block for creating molecules with potential therapeutic properties. It is often employed in the development of drugs targeting neurological disorders, cancer, and inflammatory conditions. Additionally, it finds application in organic chemistry research for the preparation of complex organic molecules, including dyes and polymers, due to its reactivity and functional groups. Its role in medicinal chemistry is significant, as it contributes to the design and optimization of drug candidates.
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
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| 0.100 | 10-20 days | $158.08 |
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| 0.250 | 10-20 days | $264.17 |
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| 1.000 | 10-20 days | $792.52 |
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Methyl 4-amino-3-(hydroxymethyl)benzoate
This chemical is primarily used in the synthesis of pharmaceutical compounds, particularly as an intermediate in the production of active pharmaceutical ingredients (APIs). Its structure, featuring both amino and hydroxymethyl groups, makes it a versatile building block for creating molecules with potential therapeutic properties. It is often employed in the development of drugs targeting neurological disorders, cancer, and inflammatory conditions. Additionally, it finds application in organic chemistry research for the preparation of complex organic molecules, including dyes and polymers, due to its reactivity and functional groups. Its role in medicinal chemistry is significant, as it contributes to the design and optimization of drug candidates.
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