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In silico molecular target prediction unveils mebendazole as a potent MAPK14 inhibitor
Authors:Jeremy Ariey&#x;Bonnet  Kendall Carrasco  Marion Le Grand  Laurent Hoffer  Stphane Betzi  Mikael Feracci  Philipp Tsvetkov  Francois Devred  Yves Collette  Xavier Morelli  Pedro Ballester  Eddy Pasquier
Abstract:The concept of polypharmacology involves the interaction of drug molecules with multiple molecular targets. It provides a unique opportunity for the repurposing of already‐approved drugs to target key factors involved in human diseases. Herein, we used an in silico target prediction algorithm to investigate the mechanism of action of mebendazole, an antihelminthic drug, currently repurposed in the treatment of brain tumors. First, we confirmed that mebendazole decreased the viability of glioblastoma cells in vitro (IC50 values ranging from 288 nm to 2.1 µm). Our in silico approach unveiled 21 putative molecular targets for mebendazole, including 12 proteins significantly upregulated at the gene level in glioblastoma as compared to normal brain tissue (fold change > 1.5; P < 0.0001). Validation experiments were performed on three major kinases involved in cancer biology: ABL1, MAPK1/ERK2, and MAPK14/p38α. Mebendazole could inhibit the activity of these kinases in vitro in a dose‐dependent manner, with a high potency against MAPK14 (IC50 = 104 ± 46 nm). Its direct binding to MAPK14 was further validated in vitro, and inhibition of MAPK14 kinase activity was confirmed in live glioblastoma cells. Consistent with biophysical data, molecular modeling suggested that mebendazole was able to bind to the catalytic site of MAPK14. Finally, gene silencing demonstrated that MAPK14 is involved in glioblastoma tumor spheroid growth and response to mebendazole treatment. This study thus highlighted the role of MAPK14 in the anticancer mechanism of action of mebendazole and provides further rationale for the pharmacological targeting of MAPK14 in brain tumors. It also opens new avenues for the development of novel MAPK14/p38α inhibitors to treat human diseases.

Abbreviations

BRET
bioluminescence resonance energy transfer
GBM
glioblastoma
GTeX
Genotype‐Tissue Expression
IC50
half‐maximal inhibitory concentration
ITC
isothermal titration calorimetry
MBZ
mebendazole
nanoDSF
nanoscale differential scanning fluorimetry
qRT‐PCR
quantitative real‐time polymerase chain reaction
RT
room temperature
siRNA
small interfering RNA
TCGA
The Cancer Genome Atlas
TSA
thermal shift assay
Keywords:cancer  drug target prediction  glioblastoma  MAPK14  mebendazole  polypharmacology
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