Literature DB >> 27581968

Prediction of cyclohexane-water distribution coefficients for the SAMPL5 data set using molecular dynamics simulations with the OPLS-AA force field.

Ian M Kenney1, Oliver Beckstein2,3, Bogdan I Iorga4.   

Abstract

All-atom molecular dynamics simulations were used to predict water-cyclohexane distribution coefficients [Formula: see text] of a range of small molecules as part of the SAMPL5 blind prediction challenge. Molecules were parameterized with the transferable all-atom OPLS-AA force field, which required the derivation of new parameters for sulfamides and heterocycles and validation of cyclohexane parameters as a solvent. The distribution coefficient was calculated from the solvation free energies of the compound in water and cyclohexane. Absolute solvation free energies were computed by an established protocol using windowed alchemical free energy perturbation with thermodynamic integration. This protocol resulted in an overall root mean square error in [Formula: see text] of almost 4 log units and an overall signed error of -3 compared to experimental data. There was no substantial overall difference in accuracy between simulating in NVT and NPT ensembles. The signed error suggests a systematic error but the experimental [Formula: see text] data on their own are insufficient to uncover the source of this error. Preliminary work suggests that the major source of error lies in the hydration free energy calculations.

Entities:  

Keywords:  Cyclohexane-water distribution coefficients; Free energy perturbation; Ligand parameterization; Molecular dynamics; OPLS-AA force field; Solvation free energy; Thermodynamic integration

Mesh:

Substances:

Year:  2016        PMID: 27581968     DOI: 10.1007/s10822-016-9949-5

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  28 in total

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4.  Comparison of charge models for fixed-charge force fields: small-molecule hydration free energies in explicit solvent.

Authors:  David L Mobley; Elise Dumont; John D Chodera; Ken A Dill
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5.  A blind challenge for computational solvation free energies: introduction and overview.

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Review 8.  Blind prediction of solvation free energies from the SAMPL4 challenge.

Authors:  David L Mobley; Karisa L Wymer; Nathan M Lim; J Peter Guthrie
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Authors:  William L Jorgensen; Kasper P Jensen; Anastassia N Alexandrova
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10.  Measuring experimental cyclohexane-water distribution coefficients for the SAMPL5 challenge.

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Journal:  J Comput Aided Mol Des       Date:  2016-10-07       Impact factor: 3.686

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3.  Blind prediction of cyclohexane-water distribution coefficients from the SAMPL5 challenge.

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Journal:  J Comput Aided Mol Des       Date:  2016-09-27       Impact factor: 3.686

4.  SAMPL6: calculation of macroscopic pKa values from ab initio quantum mechanical free energies.

Authors:  Edithe Selwa; Ian M Kenney; Oliver Beckstein; Bogdan I Iorga
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5.  Prediction of octanol-water partition coefficients for the SAMPL6-[Formula: see text] molecules using molecular dynamics simulations with OPLS-AA, AMBER and CHARMM force fields.

Authors:  Shujie Fan; Bogdan I Iorga; Oliver Beckstein
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

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9.  Precise force-field-based calculations of octanol-water partition coefficients for the SAMPL7 molecules.

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  9 in total

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