≥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.
개요
Warangalone is an anti-malarial compound which can inhibit the growth of both strains of parasite 3D7 (chloroquine sensitive) and K1 (chloroquine resistant) with IC 50 s of 4.8 μg/mL and 3.7 μg/mL, respectively. Warangalone can also inhibit cyclic AMP-dependent protein kinase catalytic subunit ( cAK ) with an IC 50 of 3.5 μM.
In Vitro
Warangalone is an anti-malarial compound which can inhibit the growth of both strains of parasite 3D7 (chloroquine sensitive) and K1 (chloroquine resistant) with IC 50 s of 4.8 μg/mL and 3.7 μg/mL, respectively. Warangalone can also inhibit cyclic AMP-dependent protein kinase catalytic subunit (cAK) with an IC 50 of 3.5 μM. When HL-60 cells are exposed to Warangalone (30 μM) for 24 h, Warangalone induces a significant decrease (8%) in cell viability compare to controls. Warangalone also inhibits HL-60 cell growth within 24 h in a time-dependent fashion. A time-dependent increase in caspase-9 activity is observed in Warangalone-treated cells. MCE has not independently confirmed the accuracy of these methods. They are for reference only.
Warangalone is an anti-malarial compound which can inhibit the growth of both strains of parasite 3D7 (chloroquine sensitive) and K1 (chloroquine resistant) with IC 50 s of 4.8 μg/mL and 3.7 μg/mL, respectively. Warangalone can also inhibit cyclic AMP-dep
This compound belongs to the class of organic compounds known as 6-prenylated isoflavanones. These are isoflavanones featuring a C5-isoprenoid unit at the 6-position.
External Descriptors
Isoflavonoids
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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