10mM in DMSO for sensitive chromatographic and analytical workflows requiring minimal baseline interference.
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Storage & shipping
Store at -80°C Ships Dry ice packs + Cold packs 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
Information
CZ415 CZ415, a potent ATP-competitive mTOR inhibitor with very good cell permeability.
Targets
mTOR (Cell-free assay) 8.07(pIC50)
In vitro
CZ415 shows no genotoxic potential and has very good cell permeability. Treatment of CZ415 leads to inhibition of phosphorylation for downstream targets of mTORC1 and mTORC2(IC50=14.5 nM for pS6RP and IC50=14.8 nM for pAKT). The immunosuppressive effect of CZ415 is measured by detecting secreted IFNγ after 18 h in stimulated human whole blood, and the resulting IC50 was 226 nM. CZ415 shows no genotoxic potential. It is neither mutagenic in a bacterial mutation assay (Ames test) nor does it show genotoxicity in the mouse lymphoma assay (MLA), in either the presence or absence of rat-liver S9 mix.
In vivo
In vivo studies show that CZ415 has moderate clearance and good oral bioavailability. In an anti-CD3 mouse model CZ415 efficiently inhibits mTOR downstream signaling and, in a CIA mouse model, shows significant antiinflammatory effects. With its extraordinary selectivity, drug-like properties and proven efficacy CZ415 represents an ideal molecule for the pharmacological investigation of mTOR pathophysiological role in vivo.
This compound belongs to the class of organic compounds known as n-phenylureas. These are compounds containing a N-phenylurea moiety, which is structurally characterized by a phenyl group linked to one nitrogen atom of a urea group.
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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