Probing the Influence of Solvation Entropy on Li+/Li Redox in Aprotic Electrolytes

Keyword(s):  
Biophysica ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 279-296
Author(s):  
Federico Fogolari ◽  
Gennaro Esposito

Estimation of solvent entropy from equilibrium molecular dynamics simulations is a long-standing problem in statistical mechanics. In recent years, methods that estimate entropy using k-th nearest neighbours (kNN) have been applied to internal degrees of freedom in biomolecular simulations, and for the rigorous computation of positional-orientational entropy of one and two molecules. The mutual information expansion (MIE) and the maximum information spanning tree (MIST) methods were proposed and used to deal with a large number of non-independent degrees of freedom, providing estimates or bounds on the global entropy, thus complementing the kNN method. The application of the combination of such methods to solvent molecules appears problematic because of the indistinguishability of molecules and of their symmetric parts. All indistiguishable molecules span the same global conformational volume, making application of MIE and MIST methods difficult. Here, we address the problem of indistinguishability by relabeling water molecules in such a way that each water molecule spans only a local region throughout the simulation. Then, we work out approximations and show how to compute the single-molecule entropy for the system of relabeled molecules. The results suggest that relabeling water molecules is promising for computation of solvation entropy.


2017 ◽  
Vol 19 (12) ◽  
pp. 8243-8257 ◽  
Author(s):  
Yulian Gavrilov ◽  
Jessica D. Leuchter ◽  
Yaakov Levy

The solvation entropy of flexible protein regions is higher than that of rigid regions and contributes differently to the overall thermodynamic stability.


2015 ◽  
Vol 11 (11) ◽  
pp. 5090-5102 ◽  
Author(s):  
Camilo Velez-Vega ◽  
Daniel J. J. McKay ◽  
Tom Kurtzman ◽  
Vibhas Aravamuthan ◽  
Robert A. Pearlstein ◽  
...  

1999 ◽  
Vol 60 (4) ◽  
pp. 4482-4495 ◽  
Author(s):  
Dan L. Bergman ◽  
Alexander P. Lyubartsev ◽  
Aatto Laaksonen
Keyword(s):  

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