Amyloid β Protein Fragment 1-42
Human Aβ42 95%
- Product Code: 110841
CAS:
107761-42-2
Molecular Weight: | 4514.04 g./mol | Molecular Formula: | C₂₀₃H₃₁₁N₅₅O₆₀S |
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EC Number: | MDL Number: | MFCD00163049 | |
Melting Point: | Boiling Point: | ||
Density: | Storage Condition: | -20°C |
Product Description:
Amyloid β Protein Fragment 1-42 is extensively used in research focused on Alzheimer's disease. It plays a critical role in studying the formation of amyloid plaques, which are hallmark features of this neurodegenerative disorder. Researchers utilize this fragment to investigate the mechanisms of plaque accumulation, neuronal toxicity, and potential therapeutic interventions. It is also employed in developing and testing drugs aimed at inhibiting amyloid aggregation or promoting its clearance. Additionally, this protein fragment is used in creating animal models of Alzheimer's disease to better understand disease progression and evaluate treatment efficacy. Its application extends to biomarker studies, helping to identify early signs of the disease in clinical settings.
Product Specification:
Test | Specification |
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Purity (HPLC) | 95-100 |
Appearance | White To Light Yellow Powder |
Mass Spectrum | Conforms To Structure |
Sizes / Availability / Pricing:
Size (g) | Availability | Price | Quantity |
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0.005 | 10-20 days | $528.81 |
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0.020 | 10-20 days | $1,511.30 |
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0.100 | 10-20 days | $4,358.26 |
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Amyloid β Protein Fragment 1-42
Amyloid β Protein Fragment 1-42 is extensively used in research focused on Alzheimer's disease. It plays a critical role in studying the formation of amyloid plaques, which are hallmark features of this neurodegenerative disorder. Researchers utilize this fragment to investigate the mechanisms of plaque accumulation, neuronal toxicity, and potential therapeutic interventions. It is also employed in developing and testing drugs aimed at inhibiting amyloid aggregation or promoting its clearance. Additionally, this protein fragment is used in creating animal models of Alzheimer's disease to better understand disease progression and evaluate treatment efficacy. Its application extends to biomarker studies, helping to identify early signs of the disease in clinical settings.
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