≥99% 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.
Visão geral
MDL-29951 is a novel glycine antagonist of NMDA receptor activation, with K i of 0.14 μM for [ 3 H]glycine binding in vitro and in vivo.
In Vitro
MDL 100,748 and MDL 29,951 are approximately 2000-fold selective for the glycine binding site relative to the glutamate recognition sites. MDL-29951 is found to inhibit the human F16Bpase under these conditions (IC 50 =2.5 μM). MDL-29951 inhibits the human liver (IC 50 =2.5 μM), porcine kidney (IC 50 =1.0 μM), and rabbit liver (IC 50 =0.21 μM) isoforms of the enzyme, but is significantly less potent against the rat liver isoform (IC 50 =11 μM). The MDL29951-activated receptor exhibits other activities associated with GPCR-mediated signaling, including G protein-dependent activation of extracellular signal-regulated kinase 1 and 2 (ERK1/2) and recruitment of β-arrestin. As with recombinant cell systems, MDL29951 promotes Ca 2+ signaling responses and inhibition of cyclic adenosine monophosphate (cAMP) accumulation in rat oligodendrocyte precursor cells during the period of peak GPR17 abundance. Effects of MDL29951 are markedly reduced in cells with low GPR17 abundance and are blocked by pranlukast. MCE has not independently confirmed the accuracy of these methods. They are for reference only.
This compound belongs to the class of organic compounds known as indolecarboxylic acids and derivatives. These are compounds containing a carboxylic acid group (or a derivative thereof) linked 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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J2509595