In silico molecular target prediction unveils mebendazole as a potent MAPK14 inhibitor.
Ontology highlight
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 < 0.00
SUBMITTER: Ariey-Bonnet J
PROVIDER: S-EPMC7718943 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA