Agonist efficiency links binding and gating in a nicotinic receptor.

acetylcholine affinity allostery dose-response efficacy induced fit molecular biophysics receptor theory structural biology

Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
03 07 2023
Historique:
received: 29 01 2023
accepted: 15 06 2023
medline: 5 7 2023
pubmed: 3 7 2023
entrez: 3 7 2023
Statut: epublish

Résumé

Receptors signal by switching between resting (C) and active (O) shapes ('gating') under the influence of agonists. The receptor's maximum response depends on the difference in agonist binding energy, O minus C. In nicotinic receptors, efficiency (η) represents the fraction of agonist binding energy applied to a local rearrangement (an induced fit) that initiates gating. In this receptor, free energy changes in gating and binding can be interchanged by the conversion factor η. Efficiencies estimated from concentration-response curves (23 agonists, 53 mutations) sort into five discrete classes (%): 0.56 (17), 0.51(32), 0.45(13), 0.41(26), and 0.31(12), implying that there are 5 C versus O binding site structural pairs. Within each class efficacy and affinity are corelated linearly, but multiple classes hide this relationship. η unites agonist binding with receptor gating and calibrates one link in a chain of coupled domain rearrangements that comprises the allosteric transition of the protein.

Identifiants

pubmed: 37399234
doi: 10.7554/eLife.86496
pii: 86496
pmc: PMC10317499
doi:
pii:

Substances chimiques

Receptors, Nicotinic 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS064969
Pays : United States
Organisme : NIH HHS
ID : NS-064969
Pays : United States

Informations de copyright

© 2023, Indurthi and Auerbach.

Déclaration de conflit d'intérêts

DI, AA No competing interests declared

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Auteurs

Dinesh C Indurthi (DC)

Department of Physiology and Biophysics, University at Buffalo, State University of New York, Buffalo, United States.

Anthony Auerbach (A)

Department of Physiology and Biophysics, University at Buffalo, State University of New York, Buffalo, United States.

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Classifications MeSH