Computational Prediction of Molecular Hydration Entropy with Hybrid Scaled Particle Theory and Free-Energy Perturbation Method

被引:12
|
作者
Choi, Hwanho [1 ]
Kang, Hongsuk [2 ]
Park, Hwangseo [1 ]
机构
[1] Sejong Univ, Dept Biosci & Biotechnol, Seoul 143747, South Korea
[2] Univ Maryland, Inst Phys Sci & Technol, College Pk, MD 20742 USA
基金
新加坡国家研究基金会;
关键词
SOLVATION FREE-ENERGIES; THERMODYNAMIC DECOMPOSITION; HYDROPHOBIC INTERACTIONS; COMPUTER-SIMULATIONS; POLAR SOLUTES; WATER MODELS; FORCE-FIELDS; DYNAMICS; ENTHALPY; BINDING;
D O I
10.1021/acs.jctc.5b00325
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Despite the importance of the knowledge of molecular hydration entropy (Delta S-hyd) in chemical and biological processes, the exact calculation of Delta S-hyd is very difficult, because of the complexity in solute-water interactions. Although free-energy perturbation (FEP) methods have been employed quite widely in the literature, the poor convergent behavior of the van der Waals interaction term in the potential function limited the accuracy and robustness. In this study, we propose a new method for estimating Delta S-hyd by means of combining the FEP approach and the scaled particle theory (or information theory) to separately calculate the electrostatic solute- water interaction term (Delta S-elec) and the hydrophobic contribution approximated by the cavity formation entropy (Delta S-cav), respectively. Decomposition of Delta S-hyd into Delta S-cav and Delta S-elec terms is found to be very effective with a substantial accuracy enhancement in Delta S-hyd estimation, when compared to the conventional full PEP calculations. Delta S-cav appears to dominate over Delta S-elec in magnitude, even in the case of polar solutes, implying that the major contribution to the entropic cost for hydration comes from the formation of a solvent-excluded volume. Our hybrid scaled particle theory and PEP method is thus found to enhance the accuracy of Delta S-hyd prediction by effectively complementing the conventional full PEP method.
引用
收藏
页码:4933 / 4942
页数:10
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