scholarly journals Automatic parametrization of non-polar implicit solvent models for the blind prediction of solvation free energies

2016 ◽  
Vol 145 (12) ◽  
pp. 124110 ◽  
Author(s):  
Bao Wang ◽  
Zhixiong Zhao ◽  
Guo-Wei Wei
2017 ◽  
Vol 19 (2) ◽  
pp. 1677-1685 ◽  
Author(s):  
Martin Brieg ◽  
Julia Setzler ◽  
Steffen Albert ◽  
Wolfgang Wenzel

Hydration free energy estimation of small molecules from all-atom simulations was widely investigated in recent years, as it provides an essential test of molecular force fields and our understanding of solvation effects.


2014 ◽  
Vol 28 (3) ◽  
pp. 135-150 ◽  
Author(s):  
David L. Mobley ◽  
Karisa L. Wymer ◽  
Nathan M. Lim ◽  
J. Peter Guthrie

2016 ◽  
Vol 9 (2) ◽  
pp. 89-94 ◽  
Author(s):  
Martin Michalík ◽  
Vladimír Lukeš

AbstractThe validation of octanol-water partition coefficients (logP) quantum chemical calculations is presented for 27 alkane alcohols. The chemical accuracy of predicted logPvalues was estimated for six DFT functionals (B3LYP, PBE0, M06-2X, ωB97X-D, B97-D3, M11) and three implicit solvent models. Triple-zeta basis set 6-311++G(d,p) was employed. The best linear correlation with the experimental logPvalues was achieved for the B3LYP and B97-D3 functionals combined with the SMD model. On the other hand, no linearity was found when IEF-PCM or C-PCM implicit models were employed.


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