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Deciphering conformational selectivity in the A2A adenosine G protein-coupled receptor by free energy simulations.
- Source :
-
PLoS computational biology [PLoS Comput Biol] 2021 Nov 24; Vol. 17 (11), pp. e1009152. Date of Electronic Publication: 2021 Nov 24 (Print Publication: 2021). - Publication Year :
- 2021
-
Abstract
- Transmembranal G Protein-Coupled Receptors (GPCRs) transduce extracellular chemical signals to the cell, via conformational change from a resting (inactive) to an active (canonically bound to a G-protein) conformation. Receptor activation is normally modulated by extracellular ligand binding, but mutations in the receptor can also shift this equilibrium by stabilizing different conformational states. In this work, we built structure-energetic relationships of receptor activation based on original thermodynamic cycles that represent the conformational equilibrium of the prototypical A2A adenosine receptor (AR). These cycles were solved with efficient free energy perturbation (FEP) protocols, allowing to distinguish the pharmacological profile of different series of A2AAR agonists with different efficacies. The modulatory effects of point mutations on the basal activity of the receptor or on ligand efficacies could also be detected. This methodology can guide GPCR ligand design with tailored pharmacological properties, or allow the identification of mutations that modulate receptor activation with potential clinical implications.<br />Competing Interests: The authors have declared that no competing interests exist.
- Subjects :
- Adenosine A2 Receptor Agonists chemistry
Adenosine A2 Receptor Agonists pharmacology
Adenosine A2 Receptor Antagonists chemistry
Adenosine A2 Receptor Antagonists pharmacology
Amino Acid Substitution
Computational Biology
Humans
Ligands
Models, Molecular
Molecular Dynamics Simulation
Point Mutation
Protein Conformation drug effects
Receptor, Adenosine A2A genetics
Receptor, Adenosine A2A metabolism
Thermodynamics
Receptor, Adenosine A2A chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1553-7358
- Volume :
- 17
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- PLoS computational biology
- Publication Type :
- Academic Journal
- Accession number :
- 34818333
- Full Text :
- https://doi.org/10.1371/journal.pcbi.1009152