Precise estimation of transfer free energies for ionic species between similar media.

TitlePrecise estimation of transfer free energies for ionic species between similar media.
Publication TypeJournal Article
Year of Publication2018
AuthorsEsposito C., Vitalis A.
JournalPhysical Chemistry Chemical Physics
Volume20
Start Page27003
Issue42
Pagination27003-27010
Date Published2018 Oct 31
Type of ArticleResearch Article
ISSN1463-9084
Keywordschemical denaturants, Free energy of solvation, free energy of transfer, GdnCl, solution chemistry, transfer properties, umbrella sampling, Urea
Abstract

Transfer properties and partition coefficients for individual ions are relevant in a variety of scientific and engineering contexts, such as predicting the effects of different electrolytes on biomacromolecules in a preferential interaction sense or predicting the distribution of heavy metal ions in soils, rivers, etc. Computer simulations allow free energies of transfer to be estimated by considering single ions explicitly. When the two media under consideration are similar to each other regarding ion solvation, the resultant free energies are small in absolute magnitude. In these cases, it is advisable to simulate the transfer process directly. Here, we demonstrate how this can be achieved using two-dimensional umbrella sampling in conjunction with canonical ensemble molecular dynamics simulations where two liquid media are in direct contact. By calculating full two-dimensional potentials of mean force, these simulations allow the estimation of single-ion transfer free energies by integrating this surface accordingly. We report statistical accuracies to highlight that very high precision is achieved and needed to make even just qualitative statements about the transfer process. We close by discussing implications of our results for the specific case considered: the transfer of polypeptide side chain analogs from water to aqueous denaturant solutions.

DOI10.1039/c8cp05331f
pubindex

0242

Alternate JournalPhys Chem Chem Phys
PubMed ID30328430
Highlight Role: 
Models and Methods for Simulations