ML385
99%
- Product Code: 101507
CAS:
846557-71-9
| Molecular Weight: | 511.59 g./mol | Molecular Formula: | C₂₉H₂₅N₃O₄S |
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| EC Number: | MDL Number: | ||
| Melting Point: | Boiling Point: | ||
| Density: | Storage Condition: | -20℃ |
Product Description:
ML385 is primarily used in research settings to study the NRF2 pathway, which plays a critical role in cellular defense mechanisms against oxidative stress. By inhibiting NRF2, ML385 helps scientists understand the role of this transcription factor in various diseases, including cancer. It is particularly valuable in investigating how NRF2 contributes to tumor progression and resistance to chemotherapy, providing insights into potential therapeutic strategies. Additionally, ML385 is utilized in studies exploring oxidative stress-related conditions, such as neurodegenerative diseases, to assess the impact of NRF2 inhibition on cellular health and disease progression. Its application is crucial for advancing knowledge in molecular biology and developing targeted treatments.
Product Specification:
| Test | Specification |
|---|---|
| Appearance | White To Off-White Solid |
| Purity (%) | 98.5-100 |
| Infrared Spectrum | Conforms To Structure |
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.005 | 10-20 days | ฿5,660.00 |
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| 0.025 | 10-20 days | ฿17,500.00 |
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ML385
ML385 is primarily used in research settings to study the NRF2 pathway, which plays a critical role in cellular defense mechanisms against oxidative stress. By inhibiting NRF2, ML385 helps scientists understand the role of this transcription factor in various diseases, including cancer. It is particularly valuable in investigating how NRF2 contributes to tumor progression and resistance to chemotherapy, providing insights into potential therapeutic strategies. Additionally, ML385 is utilized in studies exploring oxidative stress-related conditions, such as neurodegenerative diseases, to assess the impact of NRF2 inhibition on cellular health and disease progression. Its application is crucial for advancing knowledge in molecular biology and developing targeted treatments.
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