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A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry
The resemblance of lipid membrane models to physiological membranes determines how well molecular dynamics (MD) simulations imitate the dynamic behavior of cell membranes and membrane proteins. Physiological lipid membranes are composed of multiple types of phospholipids, and the leaflet composition...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681583/ https://www.ncbi.nlm.nih.gov/pubmed/26659855 http://dx.doi.org/10.1371/journal.pone.0144814 |
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author | Sharma, Satyan Kim, Brian N. Stansfeld, Phillip J. Sansom, Mark S. P. Lindau, Manfred |
author_facet | Sharma, Satyan Kim, Brian N. Stansfeld, Phillip J. Sansom, Mark S. P. Lindau, Manfred |
author_sort | Sharma, Satyan |
collection | PubMed |
description | The resemblance of lipid membrane models to physiological membranes determines how well molecular dynamics (MD) simulations imitate the dynamic behavior of cell membranes and membrane proteins. Physiological lipid membranes are composed of multiple types of phospholipids, and the leaflet compositions are generally asymmetric. Here we describe an approach for self-assembly of a Coarse-Grained (CG) membrane model with physiological composition and leaflet asymmetry using the MARTINI force field. An initial set-up of two boxes with different types of lipids according to the leaflet asymmetry of mammalian cell membranes stacked with 0.5 nm overlap, reliably resulted in the self-assembly of bilayer membranes with leaflet asymmetry resembling that of physiological mammalian cell membranes. Self-assembly in the presence of a fragment of the plasma membrane protein syntaxin 1A led to spontaneous specific positioning of phosphatidylionositol(4,5)bisphosphate at a positively charged stretch of syntaxin consistent with experimental data. An analogous approach choosing an initial set-up with two concentric shells filled with different lipid types results in successful assembly of a spherical vesicle with asymmetric leaflet composition. Self-assembly of the vesicle in the presence of the synaptic vesicle protein synaptobrevin 2 revealed the correct position of the synaptobrevin transmembrane domain. This is the first CG MD method to form a membrane with physiological lipid composition as well as leaflet asymmetry by self-assembly and will enable unbiased studies of the incorporation and dynamics of membrane proteins in more realistic CG membrane models. |
format | Online Article Text |
id | pubmed-4681583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46815832015-12-31 A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry Sharma, Satyan Kim, Brian N. Stansfeld, Phillip J. Sansom, Mark S. P. Lindau, Manfred PLoS One Research Article The resemblance of lipid membrane models to physiological membranes determines how well molecular dynamics (MD) simulations imitate the dynamic behavior of cell membranes and membrane proteins. Physiological lipid membranes are composed of multiple types of phospholipids, and the leaflet compositions are generally asymmetric. Here we describe an approach for self-assembly of a Coarse-Grained (CG) membrane model with physiological composition and leaflet asymmetry using the MARTINI force field. An initial set-up of two boxes with different types of lipids according to the leaflet asymmetry of mammalian cell membranes stacked with 0.5 nm overlap, reliably resulted in the self-assembly of bilayer membranes with leaflet asymmetry resembling that of physiological mammalian cell membranes. Self-assembly in the presence of a fragment of the plasma membrane protein syntaxin 1A led to spontaneous specific positioning of phosphatidylionositol(4,5)bisphosphate at a positively charged stretch of syntaxin consistent with experimental data. An analogous approach choosing an initial set-up with two concentric shells filled with different lipid types results in successful assembly of a spherical vesicle with asymmetric leaflet composition. Self-assembly of the vesicle in the presence of the synaptic vesicle protein synaptobrevin 2 revealed the correct position of the synaptobrevin transmembrane domain. This is the first CG MD method to form a membrane with physiological lipid composition as well as leaflet asymmetry by self-assembly and will enable unbiased studies of the incorporation and dynamics of membrane proteins in more realistic CG membrane models. Public Library of Science 2015-12-14 /pmc/articles/PMC4681583/ /pubmed/26659855 http://dx.doi.org/10.1371/journal.pone.0144814 Text en © 2015 Sharma et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Sharma, Satyan Kim, Brian N. Stansfeld, Phillip J. Sansom, Mark S. P. Lindau, Manfred A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry |
title | A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry |
title_full | A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry |
title_fullStr | A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry |
title_full_unstemmed | A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry |
title_short | A Coarse Grained Model for a Lipid Membrane with Physiological Composition and Leaflet Asymmetry |
title_sort | coarse grained model for a lipid membrane with physiological composition and leaflet asymmetry |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681583/ https://www.ncbi.nlm.nih.gov/pubmed/26659855 http://dx.doi.org/10.1371/journal.pone.0144814 |
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