Evaluation of Hydration Free Energy by Level-Set Variational Implicit-Solvent Model with Coulomb-Field Approximation
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Chemistry
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In this article, we systematically apply a novel implicit-solvent model, the variational implicit-solvent model (VISM) together with the Coulomb-Field Approximation (CFA), to calculate the hydration free energy of a large set of small organic molecules. Because these molecules have been studied in detail by molecular dynamics simulations and other implicit-solvent models, they provide a good benchmark for evaluating the performance of VISM-CFA. With all-atom Amber force field parameters, VISM-CFA is able to reproduce well not only the experimental and MD simulated total hydration free energy but also the polar and nonpolar contributions individually. The correlation between VISM-CFA and experiments is = 0.763 for the total hydration free energy, with a root-mean-square deviation (RMSD) of 1.83 kcal/mol, and the correlation to results from TIP3P explicit water MD simulations is = 0.839 with a RMSD = 1.36 kcal/mol. In addition, we demonstrate that VISM captures dewetting phenomena in the p53/MDM2 complex and hydrophobic characteristics in the system. This work demonstrates that the level-set VISM-CFA can be used to study the energetic behavior of realistic molecular systems with complicated geometries in solvation, protein-ligand binding, protein-protein association, and protein folding processes.
Delaunay M, Ha-Duong T Methods Mol Biol. 2022; 2405:205-230.
PMID: 35298816 DOI: 10.1007/978-1-0716-1855-4_11.
Zhang Z, Ricci C, Fan C, Cheng L, Li B, McCammon J J Chem Theory Comput. 2021; 17(4):2465-2478.
PMID: 33650860 PMC: 8817676. DOI: 10.1021/acs.jctc.0c01109.
Ricci C, Li B, Cheng L, Dzubiella J, McCammon J Front Mol Biosci. 2018; 5:13.
PMID: 29484300 PMC: 5816062. DOI: 10.3389/fmolb.2018.00013.
Ricci C, Li B, Cheng L, Dzubiella J, McCammon J J Phys Chem B. 2017; 121(27):6538-6548.
PMID: 28613904 PMC: 5740479. DOI: 10.1021/acs.jpcb.7b04113.
Binding site elucidation and structure guided design of macrocyclic IL-17A antagonists.
Liu S, Dakin L, Xing L, Withka J, Sahasrabudhe P, Li W Sci Rep. 2016; 6:30859.
PMID: 27527709 PMC: 4985813. DOI: 10.1038/srep30859.