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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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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 |
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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 |
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