Predicting Hydrophobic Solvation by Molecular Simulation: 1. Testing United-Atom Alkane Models

被引:12
作者
Jorge, Miguel [1 ]
Garrido, Nuno M. [2 ]
Simoes, Carlos J. V. [3 ,4 ,5 ]
Silva, Candida G. [3 ,4 ,6 ]
Brito, Rui M. M. [3 ,4 ,6 ]
机构
[1] Univ Strathclyde, Dept Chem & Proc Engn, 75 Montrose St, Glasgow G1 1XJ, Lanark, Scotland
[2] Univ Porto, Fac Engn, LSRE, Associate Lab LSRE LCM, Rua Dr Roberto Frias, P-4200465 Oporto, Portugal
[3] Univ Coimbra, Fac Sci & Technol, Dept Chem, P-3004535 Coimbra, Portugal
[4] Univ Coimbra, Fac Sci & Technol, Coimbra Chem Ctr, P-3004535 Coimbra, Portugal
[5] BSIM2 Drug Discovery, Parque Tecnol Cantanhede, P-3060197 Cantanhede, Portugal
[6] Univ Coimbra, Ctr Neurosci & Cell Biol, P-3004504 Coimbra, Portugal
关键词
solubility; free energy; non-polar; molecular simulation; force field; HYDRATION GIBBS ENERGIES; SIDE-CHAIN ANALOGS; FORCE-FIELD; TRANSFERABLE POTENTIALS; PHASE-EQUILIBRIA; THERMODYNAMIC INTEGRATION; LIQUID HYDROCARBONS; GENERAL TREATMENT; CYCLIC ALKANES; AMINO-ACIDS;
D O I
10.1002/jcc.24690
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
We present a systematic test of the performance of three popular united-atom force fields-OPLS-UA, GROMOS and TraPPE-at predicting hydrophobic solvation, more precisely at describing the solvation of alkanes in alkanes. Gibbs free energies of solvation were calculated for 52 solute/solvent pairs from Molecular Dynamics simulations and thermodynamic integration making use of the IBERCIVIS volunteer computing platform. Our results show that all force fields yield good predictions when both solute and solvent are small linear or branched alkanes (up to pentane). However, as the size of the alkanes increases, all models tend to increasingly deviate from experimental data in a systematic fashion. Furthermore, our results confirm that specific interaction parameters for cyclic alkanes in the united-atom representation are required to account for the additional excluded volume within the ring. Overall, the TraPPE model performs best for all alkanes, but systematically underpredicts the magnitude of solvation free energies by about 6% (RMSD of 1.2 kJ/mol). Conversely, both GROMOS and OPLS-UA systematically overpredict solvation free energies (by similar to 13% and 15%, respectively). The systematic trends suggest that all models can be improved by a slight adjustment of their Lennard-Jones parameters. (C) 2016 Wiley Periodicals, Inc.
引用
收藏
页码:346 / 358
页数:13
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