Literature DB >> 25844645

Octanol-Water Partition Coefficient from 3D-RISM-KH Molecular Theory of Solvation with Partial Molar Volume Correction.

WenJuan Huang1,2, Nikolay Blinov1,2, Andriy Kovalenko1,2.   

Abstract

The octanol-water partition coefficient is an important physical-chemical characteristic widely used to describe hydrophobic/hydrophilic properties of chemical compounds. The partition coefficient is related to the transfer free energy of a compound from water to octanol. Here, we introduce a new protocol for prediction of the partition coefficient based on the statistical-mechanical, 3D-RISM-KH molecular theory of solvation. It was shown recently that with the compound-solvent correlation functions obtained from the 3D-RISM-KH molecular theory of solvation, the free energy functional supplemented with the correction linearly related to the partial molar volume obtained from the Kirkwood-Buff/3D-RISM theory, also called the "universal correction" (UC), provides accurate prediction of the hydration free energy of small compounds, compared to explicit solvent molecular dynamics [ Palmer , D. S. ; J. Phys.: Condens. Matter 2010 , 22 , 492101 ]. Here we report that with the UC reparametrized accordingly this theory also provides an excellent agreement with the experimental data for the solvation free energy in nonpolar solvent (1-octanol) and so accurately predicts the octanol-water partition coefficient. The performance of the Kovalenko-Hirata (KH) and Gaussian fluctuation (GF) functionals of the solvation free energy, with and without UC, is tested on a large library of small compounds with diverse functional groups. The best agreement with the experimental data for octanol-water partition coefficients is obtained with the KH-UC solvation free energy functional.

Entities:  

Year:  2015        PMID: 25844645     DOI: 10.1021/acs.jpcb.5b01291

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  9 in total

1.  Extended solvent-contact model approach to blind SAMPL5 prediction challenge for the distribution coefficients of drug-like molecules.

Authors:  Kee-Choo Chung; Hwangseo Park
Journal:  J Comput Aided Mol Des       Date:  2016-07-23       Impact factor: 3.686

2.  SAMPL5: 3D-RISM partition coefficient calculations with partial molar volume corrections and solute conformational sampling.

Authors:  Tyler Luchko; Nikolay Blinov; Garrett C Limon; Kevin P Joyce; Andriy Kovalenko
Journal:  J Comput Aided Mol Des       Date:  2016-09-01       Impact factor: 3.686

3.  Small molecule hydration energy and entropy from 3D-RISM.

Authors:  J Johnson; D A Case; T Yamazaki; S Gusarov; A Kovalenko; T Luchko
Journal:  J Phys Condens Matter       Date:  2016-07-01       Impact factor: 2.333

4.  Effect of Atomic Charges on Octanol-Water Partition Coefficient Using Alchemical Free Energy Calculation.

Authors:  Koji Ogata; Makoto Hatakeyama; Shinichiro Nakamura
Journal:  Molecules       Date:  2018-02-15       Impact factor: 4.411

5.  The SAMPL6 challenge on predicting octanol-water partition coefficients from EC-RISM theory.

Authors:  Nicolas Tielker; Daniel Tomazic; Lukas Eberlein; Stefan Güssregen; Stefan M Kast
Journal:  J Comput Aided Mol Des       Date:  2020-01-24       Impact factor: 3.686

6.  Solvation Thermodynamics in Different Solvents: Water-Chloroform Partition Coefficients from Grid Inhomogeneous Solvation Theory.

Authors:  Johannes Kraml; Florian Hofer; Anna S Kamenik; Franz Waibl; Ursula Kahler; Michael Schauperl; Klaus R Liedl
Journal:  J Chem Inf Model       Date:  2020-07-20       Impact factor: 6.162

7.  Prediction of Partition Coefficients of Environmental Toxins Using Computational Chemistry Methods.

Authors:  David van der Spoel; Sergio Manzetti; Haiyang Zhang; Andreas Klamt
Journal:  ACS Omega       Date:  2019-08-12

Review 8.  Biomolecular Simulations with the Three-Dimensional Reference Interaction Site Model with the Kovalenko-Hirata Closure Molecular Solvation Theory.

Authors:  Dipankar Roy; Andriy Kovalenko
Journal:  Int J Mol Sci       Date:  2021-05-11       Impact factor: 5.923

9.  Energy-entropy prediction of octanol-water logP of SAMPL7 N-acyl sulfonamide bioisosters.

Authors:  Fabio Falcioni; Jas Kalayan; Richard H Henchman
Journal:  J Comput Aided Mol Des       Date:  2021-07-10       Impact factor: 3.686

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.