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Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling
Ligand binding stabilizes different G protein-coupled receptor states via a complex allosteric process that is not completely understood. Here, we have derived free energy landscapes describing activation of the β(2) adrenergic receptor bound to ligands with different efficacy profiles using enhance...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886328/ https://www.ncbi.nlm.nih.gov/pubmed/33506760 http://dx.doi.org/10.7554/eLife.60715 |
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author | Fleetwood, Oliver Carlsson, Jens Delemotte, Lucie |
author_facet | Fleetwood, Oliver Carlsson, Jens Delemotte, Lucie |
author_sort | Fleetwood, Oliver |
collection | PubMed |
description | Ligand binding stabilizes different G protein-coupled receptor states via a complex allosteric process that is not completely understood. Here, we have derived free energy landscapes describing activation of the β(2) adrenergic receptor bound to ligands with different efficacy profiles using enhanced sampling molecular dynamics simulations. These reveal shifts toward active-like states at the Gprotein-binding site for receptors bound to partial and full agonists, and that the ligands modulate the conformational ensemble of the receptor by tuning protein microswitches. We indeed find an excellent correlation between the conformation of the microswitches close to the ligand binding site and in the transmembrane region and experimentally reported cyclic adenosine monophosphate signaling responses. Dimensionality reduction further reveals the similarity between the unique conformational states induced by different ligands, and examining the output of classifiers highlights two distant hotspots governing agonism on transmembrane helices 5 and 7. |
format | Online Article Text |
id | pubmed-7886328 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-78863282021-02-17 Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling Fleetwood, Oliver Carlsson, Jens Delemotte, Lucie eLife Structural Biology and Molecular Biophysics Ligand binding stabilizes different G protein-coupled receptor states via a complex allosteric process that is not completely understood. Here, we have derived free energy landscapes describing activation of the β(2) adrenergic receptor bound to ligands with different efficacy profiles using enhanced sampling molecular dynamics simulations. These reveal shifts toward active-like states at the Gprotein-binding site for receptors bound to partial and full agonists, and that the ligands modulate the conformational ensemble of the receptor by tuning protein microswitches. We indeed find an excellent correlation between the conformation of the microswitches close to the ligand binding site and in the transmembrane region and experimentally reported cyclic adenosine monophosphate signaling responses. Dimensionality reduction further reveals the similarity between the unique conformational states induced by different ligands, and examining the output of classifiers highlights two distant hotspots governing agonism on transmembrane helices 5 and 7. eLife Sciences Publications, Ltd 2021-01-28 /pmc/articles/PMC7886328/ /pubmed/33506760 http://dx.doi.org/10.7554/eLife.60715 Text en © 2021, Fleetwood et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Structural Biology and Molecular Biophysics Fleetwood, Oliver Carlsson, Jens Delemotte, Lucie Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling |
title | Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling |
title_full | Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling |
title_fullStr | Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling |
title_full_unstemmed | Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling |
title_short | Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling |
title_sort | identification of ligand-specific g protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling |
topic | Structural Biology and Molecular Biophysics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886328/ https://www.ncbi.nlm.nih.gov/pubmed/33506760 http://dx.doi.org/10.7554/eLife.60715 |
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