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Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale

Molecular dynamics simulations provide a computational tool to probe membrane proteins and systems at length scales ranging from nanometers to close to a micrometer, and on microsecond timescales. All atom and coarse-grained simulations may be used to explore in detail the interactions of membrane p...

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Detalles Bibliográficos
Autores principales: Chavent, Matthieu, Duncan, Anna L, Sansom, Mark SP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404110/
https://www.ncbi.nlm.nih.gov/pubmed/27341016
http://dx.doi.org/10.1016/j.sbi.2016.06.007
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author Chavent, Matthieu
Duncan, Anna L
Sansom, Mark SP
author_facet Chavent, Matthieu
Duncan, Anna L
Sansom, Mark SP
author_sort Chavent, Matthieu
collection PubMed
description Molecular dynamics simulations provide a computational tool to probe membrane proteins and systems at length scales ranging from nanometers to close to a micrometer, and on microsecond timescales. All atom and coarse-grained simulations may be used to explore in detail the interactions of membrane proteins and specific lipids, yielding predictions of lipid binding sites in good agreement with available structural data. Building on the success of protein–lipid interaction simulations, larger scale simulations reveal crowding and clustering of proteins, resulting in slow and anomalous diffusional dynamics, within realistic models of cell membranes. Current methods allow near atomic resolution simulations of small membrane organelles, and of enveloped viruses to be performed, revealing key aspects of their structure and functionally important dynamics.
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spelling pubmed-54041102017-05-01 Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale Chavent, Matthieu Duncan, Anna L Sansom, Mark SP Curr Opin Struct Biol Article Molecular dynamics simulations provide a computational tool to probe membrane proteins and systems at length scales ranging from nanometers to close to a micrometer, and on microsecond timescales. All atom and coarse-grained simulations may be used to explore in detail the interactions of membrane proteins and specific lipids, yielding predictions of lipid binding sites in good agreement with available structural data. Building on the success of protein–lipid interaction simulations, larger scale simulations reveal crowding and clustering of proteins, resulting in slow and anomalous diffusional dynamics, within realistic models of cell membranes. Current methods allow near atomic resolution simulations of small membrane organelles, and of enveloped viruses to be performed, revealing key aspects of their structure and functionally important dynamics. Elsevier Science 2016-10 /pmc/articles/PMC5404110/ /pubmed/27341016 http://dx.doi.org/10.1016/j.sbi.2016.06.007 Text en © 2016 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chavent, Matthieu
Duncan, Anna L
Sansom, Mark SP
Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale
title Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale
title_full Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale
title_fullStr Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale
title_full_unstemmed Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale
title_short Molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale
title_sort molecular dynamics simulations of membrane proteins and their interactions: from nanoscale to mesoscale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404110/
https://www.ncbi.nlm.nih.gov/pubmed/27341016
http://dx.doi.org/10.1016/j.sbi.2016.06.007
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