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Cited by 820

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Nicotinic Receptors at the Amino Acid Level

Corringer, Pierre-Jean, Novère, Nicolas Le, Changeux, Jean-Pierre·2000·Annual Review of Pharmacology and Toxicology

Abstract

nAChRs are pentameric transmembrane proteins into the superfamily of ligand-gated ion channels that includes the 5HT 3, glycine, GABA A, and GABA C receptors. Electron microscopy, affinity labeling, and mutagenesis experiments, together with secondary structure predictions and measurements, suggest an all-β folding of the N-terminal extracellular domain, with the connecting loops contributing to the ACh binding pocket and to the subunit interfaces that mediate the allosteric transitions between conformational states. The ion channel consists of two distinct elements symmetrically organized along the fivefold axis of the molecule: a barrel of five M2 helices, and on the cytoplasmic side five loops contributing to the selectivity filter. The allosteric transitions of the protein underlying the physiological ACh-evoked activation and desensitization possibly involve rigid body motion of the extracellular domain of each subunit, linked to a global reorganization of the transmembrane domain responsible for channel gating.

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Crossref · 10.1146/annurev.pharmtox.40.1.431

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Metadata

Authors
Corringer, P.-J., Novère, N. L., & Changeux, J.-P.
Venue
Annual Review of Pharmacology and Toxicology
Published
2000-04
Volume
40
Issue
1
Pages
431-458
ISSN
  • 0362-1642 (ISSN-L)
  • 1545-4304
OpenAlex
W2111622691
Cited by
820
References
4
FWCI
3.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nicotinic Receptors at the Amino Acid Level. https://app.cochat.ai/papers/10.1146/annurev.pharmtox.40.1.431
The paper
Corringer, P.-J., Novère, N. L., & Changeux, J.-P. (2000). Nicotinic Receptors at the Amino Acid Level. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.40.1.431

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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.