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Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation
Cation selective channels constitute the gate for ion currents through the cell membrane. Here we present an improved statistical mechanical model based on atomistic structural information, cation hydration state and without tuned parameters that reproduces the selectivity of biological Na(+) and Ca...
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/PMC4603898/ https://www.ncbi.nlm.nih.gov/pubmed/26460827 http://dx.doi.org/10.1371/journal.pone.0138679 |
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author | Finnerty, Justin John Peyser, Alexander Carloni, Paolo |
author_facet | Finnerty, Justin John Peyser, Alexander Carloni, Paolo |
author_sort | Finnerty, Justin John |
collection | PubMed |
description | Cation selective channels constitute the gate for ion currents through the cell membrane. Here we present an improved statistical mechanical model based on atomistic structural information, cation hydration state and without tuned parameters that reproduces the selectivity of biological Na(+) and Ca(2+) ion channels. The importance of the inclusion of step-wise cation hydration in these results confirms the essential role partial dehydration plays in the bacterial Na(+) channels. The model, proven reliable against experimental data, could be straightforwardly used for designing Na(+) and Ca(2+) selective nanopores. |
format | Online Article Text |
id | pubmed-4603898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46038982015-10-20 Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation Finnerty, Justin John Peyser, Alexander Carloni, Paolo PLoS One Research Article Cation selective channels constitute the gate for ion currents through the cell membrane. Here we present an improved statistical mechanical model based on atomistic structural information, cation hydration state and without tuned parameters that reproduces the selectivity of biological Na(+) and Ca(2+) ion channels. The importance of the inclusion of step-wise cation hydration in these results confirms the essential role partial dehydration plays in the bacterial Na(+) channels. The model, proven reliable against experimental data, could be straightforwardly used for designing Na(+) and Ca(2+) selective nanopores. Public Library of Science 2015-10-13 /pmc/articles/PMC4603898/ /pubmed/26460827 http://dx.doi.org/10.1371/journal.pone.0138679 Text en © 2015 Finnerty 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 Finnerty, Justin John Peyser, Alexander Carloni, Paolo Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation |
title | Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation |
title_full | Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation |
title_fullStr | Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation |
title_full_unstemmed | Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation |
title_short | Cation Selectivity in Biological Cation Channels Using Experimental Structural Information and Statistical Mechanical Simulation |
title_sort | cation selectivity in biological cation channels using experimental structural information and statistical mechanical simulation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603898/ https://www.ncbi.nlm.nih.gov/pubmed/26460827 http://dx.doi.org/10.1371/journal.pone.0138679 |
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