Structure modeling of γ-aminobutyric acid transporters - Molecular basics of ligand selectivity.
GABA transporters
Inhibitor binding
Structure modeling
Journal
International journal of biological macromolecules
ISSN: 1879-0003
Titre abrégé: Int J Biol Macromol
Pays: Netherlands
ID NLM: 7909578
Informations de publication
Date de publication:
03 May 2020
03 May 2020
Historique:
received:
31
03
2020
revised:
28
04
2020
accepted:
29
04
2020
entrez:
8
5
2020
pubmed:
8
5
2020
medline:
8
5
2020
Statut:
aheadofprint
Résumé
γ-Aminobutyric acid transporters are responsible for regulating the GABA level in the synaptic cleft. In this way, they affect GABA-ergic transmission which is important for the proper functioning of the central nervous system. The exact structure of GABA transporters is still unknown, which hinders the design of new, potent and selective inhibitors. For these reasons, we decided to create models of all types of human gamma-aminobutyric acid transporters. They were built based on crystal structures of related proteins from the SLC6 family using homology modeling methods. The reliability of the received models has been confirmed by a number of tools assessing the quality of protein models. To determine the ligand binding mode and indicate the amino acids responsible for selectivity, docking studies and molecular dynamics simulations were performed. The amino acids lining the bottom of the main binding site have a major impact on the selective ligand binding. In addition, an important element is the non-helical fragment of the transmembrane domain 10, and several amino acids within the vestibule of the transporters, which affect its volume. To check whether obtained models are suitable to distinguish active compounds from inactive ones, enrichment plots were prepared. Results suggest that our models may be useful in the search for new inhibitors of GABA transporters of the desired selectivity.
Identifiants
pubmed: 32376252
pii: S0141-8130(20)33135-4
doi: 10.1016/j.ijbiomac.2020.04.263
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2020. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.