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Modeling molecular and ionic absolute solvation free energies with quasichemical theory bounds
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10.1063/1.2985613
/content/aip/journal/jcp/129/13/10.1063/1.2985613
http://aip.metastore.ingenta.com/content/aip/journal/jcp/129/13/10.1063/1.2985613

Figures

Image of FIG. 1.
FIG. 1.

Distributions of binding energy of methane to SPC water. The probability distribution of the interaction energy between a one-site methane solute and SPC water ( LJ cutoff). Note that the overlapping region is sparsely sampled (occupying less than 0.2% of the uncoupled distribution). The noninteracting data were taken from particle insertions for a solvent-only simulation. The fully coupled system data were collected from 6000 samples over . Two observed single-count outliers at the right of this distribution are included.

Image of FIG. 2.
FIG. 2.

This figure illustrates the construction of the probability of closest solvent approach, . is the probability of observing a cavity of size and a solvent particle in the shell . This is equivalent to the conditional probability for observing a solvent molecule in the prescribed shell, given the existence of the cavity, times the cavity probability. This physical picture is used to derive the SPT expression for the HS chemical potential. The inner circle is the unoccupied cavity, while the dashed circle indicates the shell for the observation of solvent closest approach. The solvent molecule centers are indicated by the small gray circles.

Image of FIG. 3.
FIG. 3.

Division of the minimum solute-solvent distance into successive shells. Derived quantities are shown above the axis (from bottom to top): Probabilities of falling in each shell, , and cavity probabilities . The logical organization of simulation data is shown below the axis (from top to bottom): Bin counts from simulations including HSs of size , total samples from each simulation, , and bin totals .

Image of FIG. 4.
FIG. 4.

Solute/water oxygen rdfs of all systems studied. Solid lines (left scale) show , while the integrated rdfs, , are shown as dashed lines (right scale). The rdfs for sodium and chloride can be visually distinguished because of their large size difference. There the dashed line shows and the dotted line is the corresponding . The subscripts CO, OO, and IO label the carbon/water-oxygen, water-oxygen/water-oxygen, and ion/water-oxygen distances, respectively.

Image of FIG. 5.
FIG. 5.

Solvation free energy contributions for the various systems studied. In each plot, the solid horizontal line labels the comparison result: Test particle insertion for and , the result of White and Meirovitch (Ref. 81) for TIP3P water , and test particle insertion plus charging free energy for the ions ( for and for ). The (×) symbol is for the IS contribution, the (+) symbol labels the OS packing component, and the ( ) symbol is for the OS long-ranged contribution computed from our mean-field average. The bounds on the OS long-ranged contribution are indicated by dotted lines in each figure, and the BAR result for TIP3P water is given by a line as indicated in the figure. Triangles label the sum of all free energy contributions as calculated using the present methodology.

Image of FIG. 6.
FIG. 6.

Effect of conditioning on the interaction energy distribution. The upper left figure contains no conditioning. The remaining figures are labeled with the hard-particle conditioning radii. TIP3P interaction energy distributions become increasingly Gaussian as increases from zero to —evidenced by plotting the distributions corresponding to the coupled (×) and uncoupled (+) cases.

Image of FIG. 7.
FIG. 7.

Bayesian estimation of the and profiles for TIP3P water. Each set of lines with the same style shows the mean plus or minus one standard deviation, leading to upper and lower estimates of the free energy. In the top panel, was calculated using all of data from model potential simulations with radii of 0 (first branch), 2.7 (second), and (third). Similarly, used radii of 0, 3.0, and . In the lower panel, only the last of data from simulations with model potential radii of 0, 2.6, 2.9, and were used to calculate and radii of 0, 2.9, 3.0, 3.2, and for .

Tables

Generic image for table
Table I.

Shell occupancy data, , for calculating in SPC/E water. The HS conditioning radius indexed by runs along the columns, and the shell index (from zero to ) runs along the rows.

Generic image for table
Table II.

LJ force-field parameters.

Generic image for table
Table III.

Gaussian approximation error width (kJ/mol) from TIP3P water calculation and bound widening terms.

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/content/aip/journal/jcp/129/13/10.1063/1.2985613
2008-10-03
2014-04-19
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Modeling molecular and ionic absolute solvation free energies with quasichemical theory bounds
http://aip.metastore.ingenta.com/content/aip/journal/jcp/129/13/10.1063/1.2985613
10.1063/1.2985613
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