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Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization

[Image: see text] pH dependence abounds in biochemical systems; however, many simulation methods used to investigate these systems do not consider this property. Using a modified version of the hybrid non-equilibrium molecular dynamics (MD)/Monte Carlo algorithm, we include a stochastic charge neutr...

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Autores principales: van Teijlingen, Alexander, Swanson, Hamish W. A., Lau, King Hang Aaron, Tuttle, Tell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109222/
https://www.ncbi.nlm.nih.gov/pubmed/35486900
http://dx.doi.org/10.1021/acs.jpclett.2c00544
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author van Teijlingen, Alexander
Swanson, Hamish W. A.
Lau, King Hang Aaron
Tuttle, Tell
author_facet van Teijlingen, Alexander
Swanson, Hamish W. A.
Lau, King Hang Aaron
Tuttle, Tell
author_sort van Teijlingen, Alexander
collection PubMed
description [Image: see text] pH dependence abounds in biochemical systems; however, many simulation methods used to investigate these systems do not consider this property. Using a modified version of the hybrid non-equilibrium molecular dynamics (MD)/Monte Carlo algorithm, we include a stochastic charge neutralization method, which is particularly suited to the MARTINI force field and enables artifact-free Ewald summation methods in electrostatic calculations. We demonstrate the efficacy of this method by reproducing pH-dependent self-assembly and self-organization behavior previously reported in experimental literature. In addition, we have carried out experimental oleic acid titrations where we report the results in a more relevant way for the comparison with computational methods than has previously been done.
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spelling pubmed-91092222022-05-17 Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization van Teijlingen, Alexander Swanson, Hamish W. A. Lau, King Hang Aaron Tuttle, Tell J Phys Chem Lett [Image: see text] pH dependence abounds in biochemical systems; however, many simulation methods used to investigate these systems do not consider this property. Using a modified version of the hybrid non-equilibrium molecular dynamics (MD)/Monte Carlo algorithm, we include a stochastic charge neutralization method, which is particularly suited to the MARTINI force field and enables artifact-free Ewald summation methods in electrostatic calculations. We demonstrate the efficacy of this method by reproducing pH-dependent self-assembly and self-organization behavior previously reported in experimental literature. In addition, we have carried out experimental oleic acid titrations where we report the results in a more relevant way for the comparison with computational methods than has previously been done. American Chemical Society 2022-04-29 2022-05-12 /pmc/articles/PMC9109222/ /pubmed/35486900 http://dx.doi.org/10.1021/acs.jpclett.2c00544 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle van Teijlingen, Alexander
Swanson, Hamish W. A.
Lau, King Hang Aaron
Tuttle, Tell
Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization
title Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization
title_full Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization
title_fullStr Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization
title_full_unstemmed Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization
title_short Constant pH Coarse-Grained Molecular Dynamics with Stochastic Charge Neutralization
title_sort constant ph coarse-grained molecular dynamics with stochastic charge neutralization
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109222/
https://www.ncbi.nlm.nih.gov/pubmed/35486900
http://dx.doi.org/10.1021/acs.jpclett.2c00544
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