UVI 3003 - Moligand™, ≥98%(HPLC) , Antagonist of Retinoid X receptor-α;Antagonist of Retinoid X receptor-β, CAS No.847239-17-2, Antagonist of Retinoid X receptor-α;Antagonist of Retinoid X receptor-β
UVI 3003 - Moligand™, ≥98%(HPLC) , Antagonist of Retinoid X receptor-α;Antagonist of Retinoid X receptor-β, CAS No.847239-17-2, Antagonist of Retinoid X receptor-α;Antagonist of Retinoid X receptor-β
QUALITÄT & REINHEITMoligand™?Moligand™ — Aladdin's line of ligands and bioactive small molecules. Use for receptor, pathway, and binding studies needing defined small-molecule tools.≥98%(HPLC)
UVI 3003 is a highly selective antagonist of retinoid X receptor (RXR), and inhibits xenopus and human RXRα with IC50 of 0.22 μM and 0.24 μM in Cos7 cells, respectively.
Spezifikationen
Synonyme
(2E)-3-{4-hydroxy-3-[5,5,8,8-tetramethyl-3-(pentyloxy)-5,6,7,8-tetrahydronaphthalen-2-yl]phenyl}prop-2-enoic acid | UVI3003 | UVI-3003 | (E)-3-[4-hydroxy-3-(1,1,4,4-tetramethyl-7-pentoxy-tetralin-6-yl)phenyl]prop-2-enoic acid | UVI 3003 | 3-(4-Hydroxy-3-(5,5,8,8-tetramethyl-3-(pentyloxy)-5,6,7,8-tetrahydronaphthalen-2-yl)phenyl)acrylic ac Show more
Spezifikationen & Reinheit
Moligand™, ≥98%(HPLC)
Biochemische und physiologische Mechanismen
RXR antagonist; displays high RXR binding affinity. Does not affect the corepressor interaction capacity of the RARαsubunit within the context of the RAR-RXR heterodimer.
Storage
Store at -20°C
Verschickt in
Ice chest + Ice pads
Dieses Produkt erfordert Kühlkettenversand. Grundversand und andere Economy-Optionen sind nicht verfügbar.
Note
Moligand™
Aktionsart
ANTAGONIST
Mechanismus der Wirkung
Antagonist of Retinoid X receptor-α;Antagonist of Retinoid X receptor-β
This compound belongs to the class of organic compounds known as phenylnaphthalenes. These are compounds containing a phenylnaphthalene skeleton, which consists of a naphthalene bound to a phenyl 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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