ADL5747 - Moligand™,≥98% , Agonist of δ receptor;Agonist of κ receptor;Agonist of μ receptor, CAS No.850176-30-6, Agonist of δ receptor;Agonist of κ receptor;Agonist of μ receptor
ADL5747 - Moligand™,≥98% , Agonist of δ receptor;Agonist of κ receptor;Agonist of μ receptor, CAS No.850176-30-6, Agonist of δ receptor;Agonist of κ receptor;Agonist of μ receptor
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%
Moligand™,≥98% Moligand™ 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
ADL-5747 is a selective agonist of the δ-opioid receptor (DOR). By binding to the δ-opioid receptors, ADL-5747 activates these receptors, thereby playing a role in pain management pathways. ADL-5747 can be used for research into pain management mechanisms
Specifications
Synonyms
BDBM50297342 | starbld0020866 | A13479 | Benzamide, N, N-diethyl-3-hydroxy-4-spiro(2H-1-benzopyran-2, 4'-piperidin)-4-yl- | GTPL9003 | BRJ718SA03 | compound 36 [PMID: 19694468] | N, N-Diethyl-3-hydroxy-4-(spiro[chromene-2, 4''-piperidine]-4-yl)benzamide | N, N
Specifications & Purity
Moligand™, ≥98%
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.
Grade
Moligand™
Action Type
AGONIST
Mechanism of action
Agonist of δ receptor;Agonist of κ receptor;Agonist of μ receptor
This compound belongs to the class of organic compounds known as neoflavenes. These are neoflavonoids with a structure based on a 4-phenylchromene skeleton.
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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