Assessing molecular simulation for the analysis of lipid monolayer reflectometry
Autor: | M. J. Lawrence, David J. Barlow, Andrew J. Smith, Jonathan L. Rawle, Stephen C. Parker, Andrew R. McCluskey, Karen J. Edler, James Grant |
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Rok vydání: | 2019 |
Předmět: |
Molecular dynamics
Materials science Chemical physics neutron reflectometry molecular dynamics coarse graining multi modal analysis Soft Condensed Matter (cond-mat.soft) FOS: Physical sciences General Physics and Astronomy Molecular simulation Granularity Neutron reflectometry Condensed Matter - Soft Condensed Matter Lipid monolayer Reflectometry |
Zdroj: | McCluskey, AR, Grant, J, Smith, AJ, Rawle, JL, Barlow, DJ, Lawrence, J, Parker, SC & Edler, KJ 2019, ' Assessing molecular simulation for the analysis of lipid monolayer reflectometry ', Journal of Physics Communications, vol. 3, no. 7, UNSP 075001 . https://doi.org/10.1088/2399-6528/ab12a9 |
ISSN: | 2399-6528 |
Popis: | Using molecular simulation to aid in the analysis of neutron reflectometry measurements is commonplace. However, reflectometry is a tool to probe large-scale structures, and therefore the use of all-atom simulation may be irrelevant. This work presents the first direct comparison between the reflectometry profiles obtained from different all-atom and coarse-grained molecular dynamics simulations. These are compared with a traditional model layer structure analysis method to determine the minimum simulation resolution required to accurately reproduce experimental data. We find that systematic limits reduce the efficacy of the MARTINI potential model, while the Berger united-atom and Slipids all-atom potential models agree similarly well with the experimental data. The model layer structure gives the best agreement, however, the higher resolution simulation-dependent methods produce an agreement that is comparable. Finally, we use the atomistic simulation to advise on possible improvements that may be offered to the model layer structures, creating a more realistic monolayer model. Electronic Supplementary Information (ESI) available: All analysis/plotting scripts and figure files, allowing for a fully reproducible, and automated, analysis workflow for the work presented is available at \url{https://github.com/arm61/sim_vs_trad} (DOI: 10.5281/zenodo.2600729) under a CC BY-SA 4.0 license |
Databáze: | OpenAIRE |
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