≥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.
Overview
Nav1.7-IN-3 is a selective, orally bioavailable voltage-gated sodium channel Nav1.7 inhibitor with an IC 50 of 8 nM. Pain relief. Limited CNS penetration
In Vivo
Nav1.7-IN-3 (compound 5) shows excellent potency, selectivity, behavioral efficacy in a rodent pain model (30 mg/kg, oral, 35 minutes), and efficacy in a mouse itch model (30 mg/kg, oral, 30 minutes) . MCE has not independently confirmed the accuracy of these methods. They are for reference only. Animal Model: C57BL/6 male mice (n=8/group, 25-30g) Dosage: 1, 3, and 10 mg/kg Administration: Oral (0-35 mintues) Result: Nav1.7-IN-3 demonstrates statistically significant, dose-dependent reversal of these effects in the acute phase of the experiment (0-5 min period post formalin injection) and the tonic phase of the experiment (20-35 min period post formalin injection) with full reversal of formalin effects in the tonic phase
Form:Solid
IC50& Target:IC50: 8 nM (Nav1.7)
Specifications
Specifications & Purity
≥98%
Biochemical and Physiological Mechanisms
Nav1.7-IN-3 is a selective, orally bioavailable voltage-gated sodium channel Nav1.7 inhibitor with an IC 50 of 8 nM. Pain relief. Limited CNS penetration.
Storage
Store at -20°C
Shipped In
Ice chest + Ice pads
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 aminobenzenesulfonamides. These are organic compounds containing a benzenesulfonamide moiety with an amine group attached to the benzene ring.
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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