10mM in DMSO for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at -80°C Ships Dry ice packs + Cold packs 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
description：
A cell-permeable benzodioxin-triazole compound that competes with JNK-interacting protein-1 (IC50 = 500 nM in competitive binding to JNK1 with pepJIP1) and D-domain-containing substrates binding (Ki = 200 nM in competitive binding to JNK1 with ATF2) by targeting JNK JIP1-interacting site (Kd = 8.1 µM). BI-78D3 inhibits the phosphorylation of ATF2, but not that of a D-domain-less peptide substrate, by JNK1 in kinase assays, while showing 100-fold less potency against p38α and no effect against mTOR or PI3-Kα. Shown to inhibit the TNF-α-stimulated GFP-cJun phosphorylation in transfected HeLa cultures in vitro (IC50 = 12.4 µM) and effectively reduce ConA-induced murine liver failure (10 mg/kg, i.p.) as well as restore insulin sensitivity in a murine type 2 diabetes model (25 mg/kg, i.p.) in vivo.
Competitive c-Jun N-terminal kinase (JNK) inhibitor (IC50= 280 nM) that displays > 100 fold selectivity over p38α and no activity at mTOR and PI-3K. Inhibits JNK interacting protein 1 (JIP1)-JNK binding (IC50= 500 nM) and prevents JNK substrate phosphoryl
Storage
Store at -80°C
Shipped In
Dry ice packs + Cold packs
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 diarylthioethers. These are organosulfur compounds containing a thioether group that is substituted by two aryl groups.
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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