Roblitinib (FGF401) is an FGFR4-selective inhibitor with an IC50 of 1.1 nM. It binds in a reversible covalent manner to the FGFR4 kinase domain and shows at least 1,000 fold selectivity against of panel of 65 kinases in biochemical assays.
Storage Temp
Store at -80°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
INHIBITOR
Mechanism of action
Inhibitor of fibroblast growth factor receptor 4
Product Description
Information
Roblitinib (FGF401) Roblitinib (FGF401) is an FGFR4 -selective inhibitor with an IC50 of 1.1 nM. It binds in a reversible covalent manner to the FGFR4 kinase domain and shows at least 1,000 fold selectivity against of panel of 65 kinases in biochemical assays.
Targets
FGFR4 (Cell-free assay) 1.1 nM
In vitro
Roblitinib (FGF401) binds in a reversible covalent manner to the FGFR4 kinase domain and it inhibits FGFR4 with an IC50 of 1.1 nM. In biochemical assays, it shows at least 1,000 fold selectivity against of panel of 65 kinases and in a kinome wide scan, consisting of 456 kinases, FGFR4 was the only target of NVP-FGF401. FGF401 inhibits growth of HCC and gastric cancer cell lines expressing FG19, FGFR4 and βklotho.
In vivo
In xenograft animal models NVP-FGF401 showed a consistent pharmacokinetic/pharmacodynamic (PK/PD) relationship with phospho-FGFR4 over total FGFR4 (p/tFGFR4) levels in tumor robustly inhibited in a dose dependent manner. It has good oral PK properties and remarkable anti-tumor activity in mice bearing HCC tumor xenografts and PDX models that are positive for FGF19, FGFR4 and KLB.
This compound belongs to the class of organic compounds known as naphthyridines. These are compounds containing a naphthyridine moiety, a naphthalene in which a carbon atom has been replaced by a nitrogen in each of the two rings. The naphthyridine skeleton can also be described as an assembly two fused pyridine rings, which do not share their nitrogen atom.
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.
