Literature DB >> 16494411

Microscopic structure and solvation in dry and wet octanol.

Bin Chen1, J Ilja Siepmann.   

Abstract

Octanol-water partition coefficients are extraordinarily successful for correlating and predicting numerous processes of pharmacological and environmental importance. The amphiphilic nature of the 1-octanol molecules allows the octanol phase to mimic the complexities of many different environments ranging from biomembranes to soil. However, the structural details of the octanol phase and whether its structure is altered upon water saturation are not yet fully understood. Configurational-bias Monte Carlo simulations in the Gibbs ensemble demonstrate that a diverse spectrum of hydrogen-bonded aggregates exists in dry and wet 1-octanol, and that water saturation substantially alters the 1-octanol environment from predominantly linear aggregates in dry octanol to larger cylindrical micelles with water cores in wet octanol. These simulation results are able to reconcile the conflicting views (chain-like or water-centered aggregates vs spherical micelles) of the 1-octanol structure inferred from thermodynamic arguments, spectroscopic measurements, and diffraction experiments. Calculated partition constants quantify the influence of water saturation on the solubility characteristics of the dry and wet octanol phases.

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Year:  2006        PMID: 16494411     DOI: 10.1021/jp0548164

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


  10 in total

1.  Combining MOSCED with molecular simulation free energy calculations or electronic structure calculations to develop an efficient tool for solvent formulation and selection.

Authors:  Courtney E Cox; Jeremy R Phifer; Larissa Ferreira da Silva; Gabriel Gonçalves Nogueira; Ryan T Ley; Elizabeth J O'Loughlin; Ana Karolyne Pereira Barbosa; Brett T Rygelski; Andrew S Paluch
Journal:  J Comput Aided Mol Des       Date:  2017-01-28       Impact factor: 3.686

2.  How to explain microemulsions formed by solvent mixtures without conventional surfactants.

Authors:  Thomas N Zemb; Michael Klossek; Tobias Lopian; Julien Marcus; Sebastian Schöettl; Dominik Horinek; Sylvain F Prevost; Didier Touraud; Olivier Diat; Stjepan Marčelja; Werner Kunz
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-01       Impact factor: 11.205

3.  Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge.

Authors:  Mehtap Işık; Teresa Danielle Bergazin; Thomas Fox; Andrea Rizzi; John D Chodera; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2020-02-27       Impact factor: 3.686

4.  Predicting octanol/water partition coefficients for the SAMPL6 challenge using the SM12, SM8, and SMD solvation models.

Authors:  Jonathan A Ouimet; Andrew S Paluch
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

5.  Measuring experimental cyclohexane-water distribution coefficients for the SAMPL5 challenge.

Authors:  Ariën S Rustenburg; Justin Dancer; Baiwei Lin; Jianwen A Feng; Daniel F Ortwine; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2016-10-07       Impact factor: 3.686

6.  Predicting octanol/water partition coefficients using molecular simulation for the SAMPL7 challenge: comparing the use of neat and water saturated 1-octanol.

Authors:  Spencer J Sabatino; Andrew S Paluch
Journal:  J Comput Aided Mol Des       Date:  2021-09-08       Impact factor: 3.686

7.  Complementary Fluorescence Emission and Second Harmonic Spectra Improve Bilayer Characterization.

Authors:  Radha Ranganathan; Asher J Burkin; Miroslav Peric
Journal:  J Fluoresc       Date:  2020-01-18       Impact factor: 2.217

8.  Multi-phase Boltzmann weighting: accounting for local inhomogeneity in molecular simulations of water-octanol partition coefficients in the SAMPL6 challenge.

Authors:  Andreas Krämer; Phillip S Hudson; Michael R Jones; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2020-02-14       Impact factor: 3.686

9.  Quantum chemical predictions of water-octanol partition coefficients applied to the SAMPL6 logP blind challenge.

Authors:  Michael R Jones; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

10.  Morphologies Observed in Ultraflexible Microemulsions with and without the Presence of a Strong Acid.

Authors:  Tobias Lopian; Sebastian Schöttl; Sylvain Prévost; Stéphane Pellet-Rostaing; Dominik Horinek; Werner Kunz; Thomas Zemb
Journal:  ACS Cent Sci       Date:  2016-07-11       Impact factor: 14.553

  10 in total

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