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Partitioning into phosphatidylcholine-cholesterol membranes: liposome measurements, coarse-grained simulations, and implications for bioaccumulation

Potter, Thomas David; Haywood, Nicola; Teixeira, Alex; Hodges, Geoff; Barrett, Elin L; Miller, Mark A

Partitioning into phosphatidylcholine-cholesterol membranes: liposome measurements, coarse-grained simulations, and implications for bioaccumulation Thumbnail


Authors

Thomas Potter thomas.d.potter@durham.ac.uk
PGR Student Doctor of Philosophy

Nicola Haywood

Alex Teixeira

Geoff Hodges

Elin L Barrett



Abstract

Membrane–water partitioning is an important physical property for the assessment of bioaccumulation and environmental impact. Here, we advance simulation methodology for predicting the partitioning of small molecules into lipid membranes and compare the computational predictions to experimental measurements in liposomes. As a step towards high-throughput screening, we present an automated mapping and parametrization procedure to produce coarse-grained models compatible with the Martini 3 force field. The methodology is general and can also be used for other applications where coarse-grained simulations are appropriate. This article addresses the effect on membrane–water partitioning of adding cholesterol to POPC (1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine) membranes. Nine contrasting neutral, zwitterionic and charged solutes are tested. Agreement between experiment and simulation is generally good, with the most challenging cases being permanently charged solutes. For all solutes, partitioning is found to be insensitive to membrane cholesterol concentration up to 25% mole fraction. Hence, for assessment of bioaccumulation into a range of membranes (such as those found in fish), partitioning data measured in pure lipid membranes are still informative.

Citation

Potter, T. D., Haywood, N., Teixeira, A., Hodges, G., Barrett, E. L., & Miller, M. A. (2023). Partitioning into phosphatidylcholine-cholesterol membranes: liposome measurements, coarse-grained simulations, and implications for bioaccumulation. Environmental Science: Processes & Impacts, 25(6), 1082-1093. https://doi.org/10.1039/d3em00081h

Journal Article Type Article
Acceptance Date Apr 30, 2023
Online Publication Date May 2, 2023
Publication Date 2023
Deposit Date May 7, 2023
Publicly Available Date Aug 11, 2023
Journal Environmental Science: Processes and Impacts
Print ISSN 2050-7887
Electronic ISSN 2050-7895
Publisher Royal Society of Chemistry
Peer Reviewed Peer Reviewed
Volume 25
Issue 6
Pages 1082-1093
DOI https://doi.org/10.1039/d3em00081h
Public URL https://durham-repository.worktribe.com/output/1174515

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