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Application of a Statistical and Linear Response Theory to Multi-Ion Na(+) Conduction in NaChBac

Biological ion channels are fundamental to maintaining life. In this manuscript we apply our recently developed statistical and linear response theory to investigate Na [Formula: see text] conduction through the prokaryotic Na [Formula: see text] channel NaChBac. This work is extended theoretically...

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Detalles Bibliográficos
Autores principales: Gibby, William A. T., Fedorenko, Olena A., Guardiani, Carlo, Barabash, Miraslau L., Mumby, Thomas, Roberts, Stephen K., Luchinsky, Dmitry G., McClintock, Peter V. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926348/
https://www.ncbi.nlm.nih.gov/pubmed/33670053
http://dx.doi.org/10.3390/e23020249
Descripción
Sumario:Biological ion channels are fundamental to maintaining life. In this manuscript we apply our recently developed statistical and linear response theory to investigate Na [Formula: see text] conduction through the prokaryotic Na [Formula: see text] channel NaChBac. This work is extended theoretically by the derivation of ionic conductivity and current in an electrochemical gradient, thus enabling us to compare to a range of whole-cell data sets performed on this channel. Furthermore, we also compare the magnitudes of the currents and populations at each binding site to previously published single-channel recordings and molecular dynamics simulations respectively. In doing so, we find excellent agreement between theory and data, with predicted energy barriers at each of the four binding sites of [Formula: see text] , and [Formula: see text].