Nicotinic receptors: From protein allostery to computational neuropharmacology.

Allosteric regulation Binding affinity calculations Brain disease Efficacy MWC theory Modeling Molecular dynamics Neuropharmacology Nicotinic acetylcholine receptor Potency Selectivity Synaptic receptors Thermodynamic modeling

Journal

Molecular aspects of medicine
ISSN: 1872-9452
Titre abrégé: Mol Aspects Med
Pays: England
ID NLM: 7603128

Informations de publication

Date de publication:
04 2022
Historique:
received: 27 07 2021
revised: 28 09 2021
accepted: 30 09 2021
pubmed: 18 10 2021
medline: 15 3 2022
entrez: 17 10 2021
Statut: ppublish

Résumé

We propose an extension and further development of the Monod-Wyman-Changeux model for allosteric transitions of regulatory proteins to brain communications and specifically to neurotransmitters receptors, with the nicotinic acetylcholine receptor (nAChR) as a model of ligand-gated ion channels. The present development offers an expression of the change of the gating isomerization constant caused by pharmacological ligand binding in terms of its value in the absence of ligands and several "modulation factors", which vary with orthosteric ligand binding (agonists/antagonists), allosteric ligand binding (positive allosteric modulators/negative allosteric modulators) and receptor desensitization. The new - explicit - formulation of such "modulation factors", provides expressions for the pharmacological attributes of potency, efficacy, and selectivity for the modulatory ligands (including endogenous neurotransmitters) in terms of their binding affinity for the active, resting, and desensitized states of the receptor. The current formulation provides ways to design neuroactive compounds with a controlled pharmacological profile, opening the field of computational neuro-pharmacology.

Identifiants

pubmed: 34656371
pii: S0098-2997(21)00104-7
doi: 10.1016/j.mam.2021.101044
pii:
doi:

Substances chimiques

Ligands 0
Receptors, Nicotinic 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101044

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Auteurs

Marco Cecchini (M)

Institut de Chimie de Strasbourg, UMR7177, CNRS, Université de Strasbourg, F-67083, Strasbourg Cedex, France. Electronic address: mcecchini@unistra.fr.

Jean-Pierre Changeux (JP)

Kavli Institute for Brain & Mind University of California, San Diego La Jolla, CA, 92093, USA; Institut Pasteur, URA 2182, CNRS, F-75015, France; Collège de France, F-75005 Paris, France. Electronic address: changeux@noos.fr.

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Classifications MeSH