≥98% for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at 2-8°C Ships Wet ice 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
BMY 7378 is a multi-targeted inhibitor of α2C-adrenoceptor and α1D-adrenoceptor with pKi of 6.54 and 8.2, respectively, and acts as a mixed agonist and antagonist for 5-HT1A receptor with pKi of 8.3. A SR-1A agonist and a selective α1D-AR antagonist.
BMY 7378 dihydrochloride is a putative SR-1A (5-HT1A) partial agonist, and high affinity α1D-AR adrenoceptor antagonist.5-HT 1A partial agonist (IC 50 = 0.8 nM). Potent and selective α 1D adrenoceptor antagonist (K i values are 2, 600 and 800 nM at α 1D ,
Storage
Store at 2-8°C
Shipped In
Wet ice
This product requires cold chain shipping. Ground and other economy services are not available.
Action Type
AGONIST
Note
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 phenylpiperazines. These are compounds containing a phenylpiperazine skeleton, which consists of a piperazine 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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K2519191