Accepted author manuscript, 2.14 MB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Final published version, 2.13 MB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License
Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Application of a statistical and linear response theory to multi-ion Na+ conduction in NaChBac
AU - Gibby, William
AU - Fedorenko, Olena
AU - Guardiani, Carlo
AU - Barabash, Miraslau
AU - Mumby, Thomas
AU - Roberts, Stephen
AU - Luchinsky, Dmitry
AU - McClintock, Peter V. E.
PY - 2021/2/21
Y1 - 2021/2/21
N2 - Biological ion channels are fundamental to maintaining life. In this manuscript we apply our recently developed statistical and linear response theory to investigate Na+ conduction through the prokaryotic Na+ 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 ∼4,2.9,3.6, and 4kT.
AB - Biological ion channels are fundamental to maintaining life. In this manuscript we apply our recently developed statistical and linear response theory to investigate Na+ conduction through the prokaryotic Na+ 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 ∼4,2.9,3.6, and 4kT.
U2 - 10.3390/e23020249
DO - 10.3390/e23020249
M3 - Journal article
VL - 23
JO - Entropy
JF - Entropy
SN - 1099-4300
IS - 2
M1 - 249
ER -