c-Met is a transmembrane receptor tyrosine kinase and an important therapeutic target for anticancer drugs. In this study, we designed a small library containing 300 BISAs molecules that consisted of carbohydrates, amino acids, isothiourea, tetramethylthiourea, guanidine and heterocyclic groups and screened c-Met targeting compounds using docking and MM/GBSA. Guided by virtual screening, we synthesised a series of novel compounds and their activity on inhibition of the autophosphorylation of c-Met and its downstream signalling pathway proteins were evaluated. We found a panel of benzisoselenazolones (BISAs) obtained by introducing isothiourea, tetramethylthiourea and heterocyclic groups into the C-ring of Ebselen, including7a,7b,8a,8band12c(with IC50values of less than 20 μM in MET gene amplified lung cancer cell line EBC-1), exhibited more potent antitumour activity than Ebselen by cell growth assay combined with in vitro biochemical assays. In addition, we also tested the antitumour activity of three cancer cell lines without MET gene amplification/activation, including DLD1, MDA-MB-231 and A549. The neuroblastoma SK-N-SH cells with HGF overexpression which activates MET signalling are sensitive to MET inhibitors. The results reveal that our compounds may be nonspecific multitarget kinase inhibitors, just like type-II small molecule inhibitors. Western blot analysis showed that these inhibitors inhibited autophosphorylation of c-MET, and its downstream signalling pathways, such as PI3K/AKT and MARK/ERK. Results suggest that bensoisoselenones can be used as a scaffold for the design of c-Met inhibiting drug leads, and this study opens up new possibilities for future antitumour drug design.Keywords:virtual screening;benzoisoselenone;c-Met inhibition;docking;molecular dynamics simulation
Hyperuricemia is mainly caused by insufficient renal urate excretion. Urate transporter 1 (URAT1), an organic anion transporter, is the main protein responsible for urate reabsorption. In this study, we utilized artificial intelligence-based AlphaFold2 program to construct URAT1 structural model. After molecular docking and conformational evaluation, four e-pharmacophoric models were constructed based on the complex structures of probenecid-URAT1, benzbromarone-URAT1, lesinurad-URAT1, and verinurad-URAT1. Combining pharmacophore modeling, molecular docking, MM/GBSA calculation and ADME prediction, 25 flavonoids were selected from the natural products database containing 10,968 molecules. Then, a model of HEK-293T cells overexpressing URAT1 was constructed, and the inhibitory activity to URAT1 of 25 flavonoids was evaluated by measuring their effect on cellular uptake of 6-carboxyfluorescein (6-CFL). Fisetin, baicalein, and acacetin showed the best activity with IC50 values of 12.77, 26.71, and 57.30 µM, respectively. Finally, the structure-activity relationship of these three flavonoids was analyzed by molecular docking and molecular dynamics simulations. The results showed that the carbonyl group on C-4 and hydroxyl group on C-7, C-4', and C-5’ in flavonoids were conducive for URAT1 inhibitory effects. This study facilitates the application of flavonoids in the development of URAT1 inhibitors.Communicated by Ramaswamy H. Sarma
危险品化学品经营许可证（带存储）