# Assessing molecular simulation for the analysis of lipid monolayer   reflectometry

**Authors:** Andrew R. McCluskey, James Grant, Andrew J. Smith, Jonathan L. Rawle,, David J. Barlow, M. Jayne Lawrence, Stephen C. Parker, Karen J. Edler

arXiv: 1901.05514 · 2020-05-13

## TL;DR

This study compares various molecular simulation resolutions to experimental neutron reflectometry data of lipid monolayers, identifying the most effective models and suggesting improvements for more realistic representations.

## Contribution

It provides the first direct comparison between all-atom and coarse-grained simulations against experimental data for lipid monolayers, highlighting the minimum resolution needed for accuracy.

## Key findings

- Berger united-atom and Slipids all-atom models agree well with experiments
- Model layer structures show the best agreement overall
- Higher resolution simulations offer comparable accuracy to traditional models

## Abstract

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.

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/1901.05514/full.md

## References

57 references — full list in the complete paper: https://tomesphere.com/paper/1901.05514/full.md

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Source: https://tomesphere.com/paper/1901.05514