GRADE & PURITYMoligand™?Moligand™ — Aladdin's line of ligands and bioactive small molecules. Use for receptor, pathway, and binding studies needing defined small-molecule tools.≥98%(HPLC)
Moligand™, ≥98%(HPLC) Moligand™ for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Room temperature Ships Normal 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 2 peer-reviewed publications across chromatography, organic synthesis, and cross-coupling reactions.
Descripción general
JNJ-7777120 is the first potent and selective non-imidazole histamine H4 receptor antagonist with Ki of 4.5 nM, exhibits >1000-fold selectivity over the other histamin receptors. A H4 histamine receptor antagonist.
JNJ7777120 is a potent, selective non-imidazole H4 histamine receptor antagonist.Potent, highly selective histamine H 4 receptor antagonist (K i = 4.5 nM). Shows anti-inflammatory, antifibrotic and antiallergic effects in vivo.
Condiciones de almacenamiento de almacenamiento
Room temperature
Enviado en
Normal
Grado
Moligand™
Tipo de acción
ANTAGONIST
Mecanismo de acción
Antagonist of H 4 receptor
Nota
Wherever possible, you should prepare and use solutions on the same day. However, if you need to make up stock solutions in advance, we recommend that you store the solution as aliquots in tightly sealed vials at -20°C. Generally, these will be useable for up to one month. Before use, and prior to opening the vial we recommend that you allow your product to equilibrate to room temperature for at least 1 hour. Need more advice on solubility, usage and handling? Please visit our frequently asked questions (FAQ) page for more details.
This compound belongs to the class of organic compounds known as indolecarboxamides and derivatives. These are compounds containing a carboxamide group attached to an indole.
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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