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Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations

[Image: see text] Molecular dynamics (MD) simulations have become an indispensable tool to investigate phase separation in model membrane systems. In particular, simulations based on coarse-grained (CG) models have found widespread use due to their increased computational efficiency, allowing for si...

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Autores principales: Thallmair, Sebastian, Javanainen, Matti, Fábián, Balázs, Martinez-Seara, Hector, Marrink, Siewert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404198/
https://www.ncbi.nlm.nih.gov/pubmed/34398598
http://dx.doi.org/10.1021/acs.jpcb.1c03665
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author Thallmair, Sebastian
Javanainen, Matti
Fábián, Balázs
Martinez-Seara, Hector
Marrink, Siewert J.
author_facet Thallmair, Sebastian
Javanainen, Matti
Fábián, Balázs
Martinez-Seara, Hector
Marrink, Siewert J.
author_sort Thallmair, Sebastian
collection PubMed
description [Image: see text] Molecular dynamics (MD) simulations have become an indispensable tool to investigate phase separation in model membrane systems. In particular, simulations based on coarse-grained (CG) models have found widespread use due to their increased computational efficiency, allowing for simulations of multicomponent lipid bilayers undergoing phase separation into liquid-ordered and liquid-disordered domains. Here, we show that a significant temperature difference between molecule types can artificially arise in CG MD membrane simulations with the standard Martini simulation parameters in GROMACS. In particular, the linear constraint solver (LINCS) algorithm does not converge with its default settings, resulting in serious temperature differences between molecules in a time step-dependent manner. We demonstrate that the underlying reason for this behavior is the presence of highly constrained moieties, such as cholesterol. Their presence can critically impact numerous structural and dynamic membrane properties obtained from such simulations. Furthermore, any preference of these molecules toward a certain membrane phase can lead to spatial temperature gradients, which can amplify the degree of phase separation or even induce it in compositions that would otherwise mix well. We systematically investigated the effect of the integration time step and LINCS settings on membrane properties. Our data show that for cholesterol-containing membranes, a time step of 20 fs should be combined with at least lincs_iter = 2 and lincs_order = 12, while using a time step of 30 fs requires at least lincs_iter = 3 and lincs_order = 12 to bring the temperature differences to a level where they do not perturb central membrane properties. Moreover, we show that in cases where stricter LINCS settings are computationally too demanding, coupling the lipids in multiple groups to the temperature bath offers a practical workaround to the problem, although the validity of this approach should be further verified. Finally, we show that similar temperature gradients can also emerge in atomistic simulations using the CHARMM force field in combination with settings that allow for a 5 fs integration step.
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spelling pubmed-84041982021-08-31 Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations Thallmair, Sebastian Javanainen, Matti Fábián, Balázs Martinez-Seara, Hector Marrink, Siewert J. J Phys Chem B [Image: see text] Molecular dynamics (MD) simulations have become an indispensable tool to investigate phase separation in model membrane systems. In particular, simulations based on coarse-grained (CG) models have found widespread use due to their increased computational efficiency, allowing for simulations of multicomponent lipid bilayers undergoing phase separation into liquid-ordered and liquid-disordered domains. Here, we show that a significant temperature difference between molecule types can artificially arise in CG MD membrane simulations with the standard Martini simulation parameters in GROMACS. In particular, the linear constraint solver (LINCS) algorithm does not converge with its default settings, resulting in serious temperature differences between molecules in a time step-dependent manner. We demonstrate that the underlying reason for this behavior is the presence of highly constrained moieties, such as cholesterol. Their presence can critically impact numerous structural and dynamic membrane properties obtained from such simulations. Furthermore, any preference of these molecules toward a certain membrane phase can lead to spatial temperature gradients, which can amplify the degree of phase separation or even induce it in compositions that would otherwise mix well. We systematically investigated the effect of the integration time step and LINCS settings on membrane properties. Our data show that for cholesterol-containing membranes, a time step of 20 fs should be combined with at least lincs_iter = 2 and lincs_order = 12, while using a time step of 30 fs requires at least lincs_iter = 3 and lincs_order = 12 to bring the temperature differences to a level where they do not perturb central membrane properties. Moreover, we show that in cases where stricter LINCS settings are computationally too demanding, coupling the lipids in multiple groups to the temperature bath offers a practical workaround to the problem, although the validity of this approach should be further verified. Finally, we show that similar temperature gradients can also emerge in atomistic simulations using the CHARMM force field in combination with settings that allow for a 5 fs integration step. American Chemical Society 2021-08-16 2021-08-26 /pmc/articles/PMC8404198/ /pubmed/34398598 http://dx.doi.org/10.1021/acs.jpcb.1c03665 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Thallmair, Sebastian
Javanainen, Matti
Fábián, Balázs
Martinez-Seara, Hector
Marrink, Siewert J.
Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations
title Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations
title_full Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations
title_fullStr Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations
title_full_unstemmed Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations
title_short Nonconverged Constraints Cause Artificial Temperature Gradients in Lipid Bilayer Simulations
title_sort nonconverged constraints cause artificial temperature gradients in lipid bilayer simulations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404198/
https://www.ncbi.nlm.nih.gov/pubmed/34398598
http://dx.doi.org/10.1021/acs.jpcb.1c03665
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