≥98% 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.
概要
Afizagabar (S44819) is a first-in-class, competitive, and selective antagonist at the GABA-binding site of the α5-GABAAR , with an IC 50 of 585 nM for α5β2γ2 and a K i of 66 nM for α5β3γ2. Afizagabar enhances hippocampal synaptic plasticity and exhibits pro-cognitive efficacy.
In Vitro
Afizagabar (S44819) is a competitive α5-GABAAR antagonist (K b =221 nM). Afizagabar selectively inhibits extrasynaptic α5-GABAARs of mouse CA1 pyramidal neurons. MCE has not independently confirmed the accuracy of these methods. They are for reference only.
In Vivo
Afizagabar (1 and 3 mg/kg; i.p.) significantly diminishes the marked increase in total errors induced by Scopolamine . MCE has not independently confirmed the accuracy of these methods. They are for reference only. Animal Model: Male Sprague Dawley (SPRD) rats (In the eight-arm radial maze) Dosage: 1 and 3 mg/kg Administration: I.p. Result: Significantly diminished the marked increase in total errors induced by Scopolamine.
Afizagabar (S44819) is a first-in-class, competitive, and selective antagonist at the GABA-binding site of the α5-GABAAR , with an IC 50 of 585 nM for α5β2γ2 and a K i of 66 nM for α5β3γ2. Afizagabar enhances hippocampal synaptic plasticity and exhibits p
This compound belongs to the class of organic compounds known as benzodiazepines. These are organic compounds containing a benzene ring fused to either isomers of diazepine(unsaturated seven-member heterocycle with two nitrogen atoms replacing two carbon atoms).
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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