≥99% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at -20°C Ships Ice chest + Ice pads Check lot-specific COA for exact specifications.
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Quality documents
SDS, COA, datasheet, and spec sheet available for download. Lot-specific COA accessible via lot number lookup.
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Literature proof
Cited in 0 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Overview
AGN-195183 (IRX-5183) is a potent and selective agonist of RARα ( K d =3 nM) with improved binding selectivity relative to AGN 193836. AGN-195183 has no activity on RARβ/γ.
In Vitro
AGN-195183 (IRX-5183; Compound 4) inhibits the growth of breast cancer cell lines, and is inactive in an in vivo model of topical irritation.\nAGN-195183 and ATRA inhibit growth of the human breast cancer cell lines, T-47D and SK-BR-3. AGN-195183 does not cause the topical irritation induced by the RARa-selective retinoid, Am-580. AGN-195183 is currently in Phase I/IIA clinical trials in cancer patients. MCE has not independently confirmed the accuracy of these methods. They are for reference only.
AGN-195183 (IRX-5183) is a potent and selective agonist of RARα ( K d =3 nM) with improved binding selectivity relative to AGN 193836. AGN-195183 has no activity on RARβ/γ.
Storage
Store at -20°C
Shipped In
Ice chest + Ice pads
This product requires cold chain shipping. Ground and other economy services are not available.
This compound belongs to the class of organic compounds known as aromatic anilides. These are aromatic compounds containing an anilide group in which the carboxamide group is substituted with an aromatic group. They have the general structure RNC(=O)R', where R= benzene, and R = aryl group.
External Descriptors
Not available
1. Djoumbou Feunang Y, Eisner R, Knox C, Chepelev L, Hastings J, Owen G, Fahy E, Steinbeck C, Subramanian S, Bolton E, Greiner R, and Wishart DS. ClassyFire: Automated Chemical Classification With A Comprehensive, Computable Taxonomy. Journal of Cheminformatics, 2016, 8:61.
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