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Cited by 179

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Mechanism of Ion Permeation and Selectivity in a Voltage Gated Sodium Channel

Corry, Ben, Thomas, Michael·2012·Journal of the American Chemical Society

Abstract

The rapid and selective transport of Na(+) through sodium channels is essential for initiating action potentials within excitable cells. However, an understanding of how these channels discriminate between different ion types and how ions permeate the pore has remained elusive. Using the recently published crystal structure of a prokaryotic sodium channel from Arcobacter butzleri, we are able to determine the steps involved in ion transport and to pinpoint the location and likely mechanism used to discriminate between Na(+) and K(+). Na(+) conduction is shown to involve the loosely coupled "knock-on" movement of two solvated ions. Selectivity arises due to the inability of K(+) to fit between a plane of glutamate residues with the preferred solvation geometry that involves water molecules bridging between the ion and carboxylate groups. These mechanisms are different to those described for K(+) channels, highlighting the importance of developing a separate mechanistic understanding of Na(+) and Ca(2+) channels.

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Crossref · 10.1021/ja210020h

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Metadata

Authors
Corry, B., & Thomas, M.
Venue
Journal of the American Chemical Society
Published
2012-01-12
Volume
134
Issue
3
Pages
1840-1846
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1985777237
Cited by
179
References
3
FWCI
5.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mechanism of Ion Permeation and Selectivity in a Voltage Gated Sodium Channel. https://app.cochat.ai/papers/10.1021/ja210020h
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Corry, B., & Thomas, M. (2012). Mechanism of Ion Permeation and Selectivity in a Voltage Gated Sodium Channel. Journal of the American Chemical Society. https://doi.org/10.1021/ja210020h

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.