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Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes

[Image: see text] A new reaction coordinate to bias molecular dynamics simulation is described that allows enhanced sampling of density-driven processes, such as mixing and demixing two different molecular species. The methodology is validated by comparing the theoretical entropy of demixing two ide...

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Detalles Bibliográficos
Autores principales: Mirjalili, Vahid, Feig, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295813/
https://www.ncbi.nlm.nih.gov/pubmed/25620896
http://dx.doi.org/10.1021/ct5009153
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author Mirjalili, Vahid
Feig, Michael
author_facet Mirjalili, Vahid
Feig, Michael
author_sort Mirjalili, Vahid
collection PubMed
description [Image: see text] A new reaction coordinate to bias molecular dynamics simulation is described that allows enhanced sampling of density-driven processes, such as mixing and demixing two different molecular species. The methodology is validated by comparing the theoretical entropy of demixing two ideal gas species and then applied to induce deformation and pore formation in phospholipid membranes within an umbrella sampling framework. Comparison with previous biased simulations of membrane pore formation suggests overall quantitative agreement, but the density-based biasing potential results in a different, more realistic transition pathway than that in previous studies.
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spelling pubmed-42958132015-12-12 Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes Mirjalili, Vahid Feig, Michael J Chem Theory Comput [Image: see text] A new reaction coordinate to bias molecular dynamics simulation is described that allows enhanced sampling of density-driven processes, such as mixing and demixing two different molecular species. The methodology is validated by comparing the theoretical entropy of demixing two ideal gas species and then applied to induce deformation and pore formation in phospholipid membranes within an umbrella sampling framework. Comparison with previous biased simulations of membrane pore formation suggests overall quantitative agreement, but the density-based biasing potential results in a different, more realistic transition pathway than that in previous studies. American Chemical Society 2014-12-12 2015-01-13 /pmc/articles/PMC4295813/ /pubmed/25620896 http://dx.doi.org/10.1021/ct5009153 Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Mirjalili, Vahid
Feig, Michael
Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes
title Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes
title_full Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes
title_fullStr Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes
title_full_unstemmed Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes
title_short Density-Biased Sampling: A Robust Computational Method for Studying Pore Formation in Membranes
title_sort density-biased sampling: a robust computational method for studying pore formation in membranes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295813/
https://www.ncbi.nlm.nih.gov/pubmed/25620896
http://dx.doi.org/10.1021/ct5009153
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