Cargando…

All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5

We present blind predictions submitted to the SAMPL5 challenge on calculating distribution coefficients. The predictions were based on estimating the solvation free energies in water and cyclohexane of the 53 compounds in the challenge. These free energies were computed using alchemical free energy...

Descripción completa

Detalles Bibliográficos
Autores principales: Genheden, Samuel, Essex, Jonathan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206257/
https://www.ncbi.nlm.nih.gov/pubmed/27460060
http://dx.doi.org/10.1007/s10822-016-9926-z
_version_ 1782490231261364224
author Genheden, Samuel
Essex, Jonathan W.
author_facet Genheden, Samuel
Essex, Jonathan W.
author_sort Genheden, Samuel
collection PubMed
description We present blind predictions submitted to the SAMPL5 challenge on calculating distribution coefficients. The predictions were based on estimating the solvation free energies in water and cyclohexane of the 53 compounds in the challenge. These free energies were computed using alchemical free energy simulations based on a hybrid all-atom/coarse-grained model. The compounds were treated with the general Amber force field, whereas the solvent molecules were treated with the Elba coarse-grained model. Considering the simplicity of the solvent model and that we approximate the distribution coefficient with the partition coefficient of the neutral species, the predictions are of good accuracy. The correlation coefficient, R is 0.64, 82 % of the predictions have the correct sign and the mean absolute deviation is 1.8 log units. This is on a par with or better than the other simulation-based predictions in the challenge. We present an analysis of the deviations to experiments and compare the predictions to another submission that used all-atom solvent. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-016-9926-z) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5206257
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-52062572017-01-18 All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5 Genheden, Samuel Essex, Jonathan W. J Comput Aided Mol Des Article We present blind predictions submitted to the SAMPL5 challenge on calculating distribution coefficients. The predictions were based on estimating the solvation free energies in water and cyclohexane of the 53 compounds in the challenge. These free energies were computed using alchemical free energy simulations based on a hybrid all-atom/coarse-grained model. The compounds were treated with the general Amber force field, whereas the solvent molecules were treated with the Elba coarse-grained model. Considering the simplicity of the solvent model and that we approximate the distribution coefficient with the partition coefficient of the neutral species, the predictions are of good accuracy. The correlation coefficient, R is 0.64, 82 % of the predictions have the correct sign and the mean absolute deviation is 1.8 log units. This is on a par with or better than the other simulation-based predictions in the challenge. We present an analysis of the deviations to experiments and compare the predictions to another submission that used all-atom solvent. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-016-9926-z) contains supplementary material, which is available to authorized users. Springer International Publishing 2016-07-26 2016 /pmc/articles/PMC5206257/ /pubmed/27460060 http://dx.doi.org/10.1007/s10822-016-9926-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Genheden, Samuel
Essex, Jonathan W.
All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5
title All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5
title_full All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5
title_fullStr All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5
title_full_unstemmed All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5
title_short All-atom/coarse-grained hybrid predictions of distribution coefficients in SAMPL5
title_sort all-atom/coarse-grained hybrid predictions of distribution coefficients in sampl5
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5206257/
https://www.ncbi.nlm.nih.gov/pubmed/27460060
http://dx.doi.org/10.1007/s10822-016-9926-z
work_keys_str_mv AT genhedensamuel allatomcoarsegrainedhybridpredictionsofdistributioncoefficientsinsampl5
AT essexjonathanw allatomcoarsegrainedhybridpredictionsofdistributioncoefficientsinsampl5