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Modeling ion channels: Past, present, and future

Ion channels are membrane-bound enzymes whose catalytic sites are ion-conducting pores that open and close (gate) in response to specific environmental stimuli. Ion channels are important contributors to cell signaling and homeostasis. Our current understanding of gating is the product of 60 plus ye...

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Detalles Bibliográficos
Autor principal: Sigg, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Rockefeller University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076515/
https://www.ncbi.nlm.nih.gov/pubmed/24935742
http://dx.doi.org/10.1085/jgp.201311130
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author Sigg, Daniel
author_facet Sigg, Daniel
author_sort Sigg, Daniel
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description Ion channels are membrane-bound enzymes whose catalytic sites are ion-conducting pores that open and close (gate) in response to specific environmental stimuli. Ion channels are important contributors to cell signaling and homeostasis. Our current understanding of gating is the product of 60 plus years of voltage-clamp recording augmented by intervention in the form of environmental, chemical, and mutational perturbations. The need for good phenomenological models of gating has evolved in parallel with the sophistication of experimental technique. The goal of modeling is to develop realistic schemes that not only describe data, but also accurately reflect mechanisms of action. This review covers three areas that have contributed to the understanding of ion channels: traditional Eyring kinetic theory, molecular dynamics analysis, and statistical thermodynamics. Although the primary emphasis is on voltage-dependent channels, the methods discussed here are easily generalized to other stimuli and could be applied to any ion channel and indeed any macromolecule.
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spelling pubmed-40765152015-01-01 Modeling ion channels: Past, present, and future Sigg, Daniel J Gen Physiol Review Ion channels are membrane-bound enzymes whose catalytic sites are ion-conducting pores that open and close (gate) in response to specific environmental stimuli. Ion channels are important contributors to cell signaling and homeostasis. Our current understanding of gating is the product of 60 plus years of voltage-clamp recording augmented by intervention in the form of environmental, chemical, and mutational perturbations. The need for good phenomenological models of gating has evolved in parallel with the sophistication of experimental technique. The goal of modeling is to develop realistic schemes that not only describe data, but also accurately reflect mechanisms of action. This review covers three areas that have contributed to the understanding of ion channels: traditional Eyring kinetic theory, molecular dynamics analysis, and statistical thermodynamics. Although the primary emphasis is on voltage-dependent channels, the methods discussed here are easily generalized to other stimuli and could be applied to any ion channel and indeed any macromolecule. The Rockefeller University Press 2014-07 /pmc/articles/PMC4076515/ /pubmed/24935742 http://dx.doi.org/10.1085/jgp.201311130 Text en © 2014 Sigg This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 3.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/3.0/).
spellingShingle Review
Sigg, Daniel
Modeling ion channels: Past, present, and future
title Modeling ion channels: Past, present, and future
title_full Modeling ion channels: Past, present, and future
title_fullStr Modeling ion channels: Past, present, and future
title_full_unstemmed Modeling ion channels: Past, present, and future
title_short Modeling ion channels: Past, present, and future
title_sort modeling ion channels: past, present, and future
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4076515/
https://www.ncbi.nlm.nih.gov/pubmed/24935742
http://dx.doi.org/10.1085/jgp.201311130
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