The application of the MM/GBSA method in the binding pose prediction of FGFR inhibitors
Yu Chen, Yongxiang Zheng, Pedro Fong, Shengjun Mao, Qiantao Wang
Abstract
The success of a structure-based drug is highly dependent on a known binding pose of the protein-ligand system. However, this is not always available. In this study, we set out to explore the applicability of the popular and easy-to-use MD-based MM/GBSA method to determine the binding poses of known FGFR inhibitors. It was found that MM/GBSA combined with 100 ns of MD simulation significantly improved the success rate of docking methods from 30-40% to 70%. This work demonstrates a way that the MM/GBSA method can be more accurate than it is in ligand ranking, filling a gap in structure-based drug discovery when the binding pose is unknown.
Topics & Concepts
ChemistryDocking (animal)Computational biologyDrug discoveryQuantitative structure–activity relationshipLigand (biochemistry)Computer scienceStereochemistryBiochemistryBiologyMedicineReceptorNursingFibroblast Growth Factor ResearchClick Chemistry and ApplicationsChemical Synthesis and Analysis