Assessing the performance of the g_mmpbsa tools to simulate the inhibition of oseltamivir to influenza virus neuraminidase by molecular mechanics Poisson–Boltzmann surface area methods. Issue 1 (21st June 2019)

• Record Type: Journal Article
• Authors: Ren, Jiayi; Yuan, Xiaohui; Li, Junqi; Lin, Shujian; Yang, Bing; Chen, Chun; Zhao, Jian; Zheng, Weihong; Liao, Huaxin; Yang, Zhiwei; Qu, Zhangyi
• Is Part Of: Journal of the Chinese Chemical Society. Volume 67:Issue 1(2020)
• Page Start: 46
• Page End: 53
• Publication Date: 2019-06-21
• Subjects: binding free energy -- g_mmpbsa -- MM‐PBSA methods -- neuraminidase; Chemistry -- Periodicals; Electronic journals; 540.5
• DOI: 10.1002/jccs.201900148
• Languages: English
• ISSNs: 0009-4536

Abstract

Abstract: The molecular mechanics Poisson–Boltzmann surface area (MM‐PBSA) method for GROMACS (g_mmpbsa) is an open‐source tool that is capable of reading the trajectories generated by GROMACS and calculating the binding free energy using the MM‐PBSA method. However, there are multiple force fields available for users to choose from in the GROMACS software, and there are also different solvent water models to combine with the chosen force fields. These different combinations of parameters may significantly impact the results of g_mmpbsa calculation. Unfortunately, the exact combination of force field and solvent water that can well calculate the free energy of the receptor–ligand binding in GROMACS has not been explored yet. To resolve the above issues, this study mainly explored the molecular dynamics (MD) simulations by GROMACS with the six commonly used force fields and three solvent water models, in combination with g_mmpbsa, to calculate the binding free energies of the influenza virus neuraminidase and its mutants with inhibitor oseltamivir carboxylate and compared the present results with previous published results of Amber software from ours and other researchers. Finally, we provided an optimized calculation model, as well as suggestions that may serve as advice and guidance for future computer‐aided designs of drug molecules. Abstract : This study explores the effects of different force fields and solvent water on the free binding energy calculation of NA‐OS and its mutants using the Gromacs software and g_mmpbsa tool. The recommended calculation models selected for working with small molecule antiviral drug systems (as exampled by NA‐OS) are amber03‐tip4p, amber99sb‐tip3p, and amber99sb‐ildn‐tip3p.