KRN4884
98%
- Product Code: 66620
CAS:
152802-84-1
| Molecular Weight: | 299.76 g./mol | Molecular Formula: | C₁₅H₁₄ClN₅ |
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| Density: | Storage Condition: | 2-8℃ |
Product Description:
KRN4884 is primarily used in the field of oncology research as a potential therapeutic agent. It is being studied for its efficacy in targeting specific cancer cells, particularly in cases where traditional treatments have shown limited success. The compound is designed to inhibit certain pathways that are crucial for the survival and proliferation of cancer cells, making it a promising candidate for developing new cancer therapies. Researchers are also exploring its potential in combination with other drugs to enhance treatment outcomes and reduce the risk of drug resistance. Additionally, KRN4884 is being investigated for its role in personalized medicine, where it could be tailored to treat cancers with specific genetic profiles. Its application extends to preclinical studies, where it is used to understand the molecular mechanisms underlying cancer progression and to identify biomarkers that could predict treatment response.
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.001 | 10-20 days | ฿66,120.00 |
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| 0.005 | 10-20 days | ฿131,100.00 |
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KRN4884
KRN4884 is primarily used in the field of oncology research as a potential therapeutic agent. It is being studied for its efficacy in targeting specific cancer cells, particularly in cases where traditional treatments have shown limited success. The compound is designed to inhibit certain pathways that are crucial for the survival and proliferation of cancer cells, making it a promising candidate for developing new cancer therapies. Researchers are also exploring its potential in combination with other drugs to enhance treatment outcomes and reduce the risk of drug resistance. Additionally, KRN4884 is being investigated for its role in personalized medicine, where it could be tailored to treat cancers with specific genetic profiles. Its application extends to preclinical studies, where it is used to understand the molecular mechanisms underlying cancer progression and to identify biomarkers that could predict treatment response.
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