Application of the Co-Agonist Concerted Transition Model to Analysis of GABAA Receptor Properties.
GABAA receptor
activation
agonist
ion channel
model
modulation
potentiation
potentiator.
Journal
Current neuropharmacology
ISSN: 1875-6190
Titre abrégé: Curr Neuropharmacol
Pays: United Arab Emirates
ID NLM: 101157239
Informations de publication
Date de publication:
2019
2019
Historique:
received:
02
10
2018
revised:
16
11
2018
accepted:
28
11
2018
pubmed:
7
12
2018
medline:
20
2
2020
entrez:
7
12
2018
Statut:
ppublish
Résumé
The co-agonist concerted transition model is a simple and practical solution to analyze various aspects of GABAA receptor function. Several model-based predictions have been verified experimentally in previous reports. We review here the practical implications of the model and demonstrate how it enables simplification of the experimental procedure and data analysis to characterize the effects of mutations or properties of novel ligands. Specifically, we show that the value of EC50 and the magnitude of current response are directly affected by basal activity, and that coapplication of a background agonist acting at a distinct site or use of a gain-of-function mutation can be employed to enable studies of weak activators or mutated receptors with impaired gating. We also show that the ability of one GABAergic agent to potentiate the activity elicited by another is a computable value that depends on the level of constitutive activity of the ion channel and the ability of each agonist to directly activate the receptor. Significantly, the model accurately accounts for situations where the paired agonists interact with the same site compared to distinct sites on the receptor.
Identifiants
pubmed: 30520374
pii: CN-EPUB-95055
doi: 10.2174/1570159X17666181206092418
pmc: PMC7052843
doi:
Substances chimiques
GABA-A Receptor Agonists
0
Receptors, GABA-A
0
Propofol
YI7VU623SF
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
843-851Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM108580
Pays : United States
Informations de copyright
Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.
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