Graphical AbstractTOC c-Met is a tyrosine kinase and an important therapeutic target for anticancer drugs. In present study, we systematically investigated the influence of a range of parameters on the correlation between experimental and calculated binding energies of type II c-Met inhibitors. Results from this study will form the basis for establishing an efficient computational docking approach for c-Met type II inhibitors design.
Highlights• Testing a set of influences to the ranking ability of the docking program in MOE.• Structure-activity relationship study of c-Met type II inhibitors.• Establishing an efficient computational docking approach for c-Met type II inhibitors design.ABSTRACT: c-Met is a transmembrane receptor tyrosine kinase and an important therapeutic target for anticancer drugs. In the present study, we systematically investigated the influence of a range of parameters on the correlation between experimental and calculated binding free energies of type II c-Met inhibitors. We especially focused on evaluating the impact of different force fields, binding energy calculation methods, docking protocols, conformation sampling strategies, and conformations of the binding site captured in several crystallographic structures. Our results suggest that the force fields, the protein flexibility, and the selected conformation of the binding site substantially influence the correlation coefficient, while the sampling strategies and ensemble docking only mildly affect the prediction accuracy. Structure-activity relationship study suggests that the structural determinants to the high binding affinity of the type II inhibitors originate from its overall linear shape, hydrophobicity, and two conserved hydrogen bonds. Results from this study will form the basis for establishing an efficient computational docking approach for c-Met type II inhibitors design.