2017
DOI: 10.48550/arxiv.1704.05246
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Can approximate integral equation theories accurately predict solvation thermodynamics?

Maksim Misin

Abstract: Department of Physics Doctor of PhilosophyCan approximate integral equation theories accurately predict solvation thermodynamics? by Maksim MisinThe thesis focuses on the prediction of solvation thermodynamics using integral equation theories. Our main goal is to improve the approach using a rational correction. We achieve it by extending recently introduced pressure correction, and rationalizing it in the context of solvation entropy. The improved model (to which we refer as advanced pressure correction) is r… Show more

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Cited by 1 publication
(2 citation statements)
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“…These density distributions can be regarded as a variant of molecular fields that we discussed in the previous section. Notice that the densities obtained from RISM calculations are not exact [2,12], but can be successfully used to predict variety of both chemical and biological properties using either semi-empirical corrections [11,13,38,39,39] or QSPR approaches [40].…”
Section: D Reference Interaction Site Model (3d-rism)mentioning
confidence: 99%
See 1 more Smart Citation
“…These density distributions can be regarded as a variant of molecular fields that we discussed in the previous section. Notice that the densities obtained from RISM calculations are not exact [2,12], but can be successfully used to predict variety of both chemical and biological properties using either semi-empirical corrections [11,13,38,39,39] or QSPR approaches [40].…”
Section: D Reference Interaction Site Model (3d-rism)mentioning
confidence: 99%
“…In turn, these distributions can be related to the solution properties of solvated molecules [7,8]. Examples include solvation free energy [9,10,11], partial molar volume [3,12], salting out constants [13], binding free energies [14,15,16] and others. However, using purely theoretical approach, it is practically impossible to relate these distributions to the substance's biological effects, such as toxicity or bioaccumulation.…”
Section: Introductionmentioning
confidence: 99%