3-(1H-Tetrazol-5-yl)benzylamine

≥97%

  • Product Code: 69440
  CAS:    765877-97-2
Molecular Weight: 175.19 g./mol Molecular Formula: C₈H₉N₅
EC Number: MDL Number: MFCD09971259
Melting Point: Boiling Point:
Density: Storage Condition: room temperature, dry
Product Description: This chemical is primarily utilized in the pharmaceutical industry as a key intermediate in the synthesis of various active pharmaceutical ingredients (APIs). It is particularly significant in the development of compounds that target specific receptors or enzymes, often leading to the creation of drugs with therapeutic effects. Its tetrazole moiety is known for its role in enhancing binding affinity and metabolic stability, making it valuable in the design of molecules for cardiovascular, anti-inflammatory, and central nervous system applications. Additionally, it is employed in research settings for the development of novel chemical entities and drug discovery programs, where its structural features contribute to the optimization of drug candidates.
Product Specification:
Test Specification
APPEARANCE White to yellow solid
PURITY 96.5-100
Infrared spectrum Conforms to Structure
NMR Conforms to Structure
Sizes / Availability / Pricing:
Size (g) Availability Price Quantity
0.250 10-20 days $186.02
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-
1.000 10-20 days $640.56
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3-(1H-Tetrazol-5-yl)benzylamine
This chemical is primarily utilized in the pharmaceutical industry as a key intermediate in the synthesis of various active pharmaceutical ingredients (APIs). It is particularly significant in the development of compounds that target specific receptors or enzymes, often leading to the creation of drugs with therapeutic effects. Its tetrazole moiety is known for its role in enhancing binding affinity and metabolic stability, making it valuable in the design of molecules for cardiovascular, anti-inflammatory, and central nervous system applications. Additionally, it is employed in research settings for the development of novel chemical entities and drug discovery programs, where its structural features contribute to the optimization of drug candidates.
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