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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2014
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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. |
format | Online Article Text |
id | pubmed-4295813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mirjalilivahid densitybiasedsamplingarobustcomputationalmethodforstudyingporeformationinmembranes AT feigmichael densitybiasedsamplingarobustcomputationalmethodforstudyingporeformationinmembranes |