SPI112
98%
- Product Code: 102589
CAS:
1051387-90-6
| Molecular Weight: | 468.45 g./mol | Molecular Formula: | C₂₂H₁₇FN₄O₅S |
|---|---|---|---|
| EC Number: | MDL Number: | ||
| Melting Point: | Boiling Point: | ||
| Density: | Storage Condition: | -20℃ |
Product Description:
SPI112 is primarily utilized in the field of medical research and drug development. It is known for its potential application as a therapeutic agent, particularly in the treatment of certain types of cancers. Its mechanism of action involves targeting specific cellular pathways, which makes it a promising candidate for inhibiting tumor growth and proliferation. Additionally, SPI112 is being studied for its role in modulating immune responses, which could lead to advancements in immunotherapy. Researchers are also exploring its use in combination with other drugs to enhance efficacy and reduce resistance in cancer treatments. Its application extends to preclinical studies, where it is used to understand disease mechanisms and evaluate safety profiles before advancing to clinical trials.
Product Specification:
| Test | Specification |
|---|---|
| Appearance | Light Yellow Solid |
| Purity (%) | 97.5-100 |
| NMR | Conforms To Structure |
Sizes / Availability / Pricing:
| Size (g) | Availability | Price | Quantity |
|---|---|---|---|
| 0.001 | 10-20 days | ฿990.00 |
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| 0.005 | 10-20 days | ฿2,980.00 |
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| 0.025 | 10-20 days | ฿10,290.00 |
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SPI112
SPI112 is primarily utilized in the field of medical research and drug development. It is known for its potential application as a therapeutic agent, particularly in the treatment of certain types of cancers. Its mechanism of action involves targeting specific cellular pathways, which makes it a promising candidate for inhibiting tumor growth and proliferation. Additionally, SPI112 is being studied for its role in modulating immune responses, which could lead to advancements in immunotherapy. Researchers are also exploring its use in combination with other drugs to enhance efficacy and reduce resistance in cancer treatments. Its application extends to preclinical studies, where it is used to understand disease mechanisms and evaluate safety profiles before advancing to clinical trials.
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