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Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding
Activation of heterotrimeric G proteins is a key step in many signaling cascades. However, a complete mechanism for this process, which requires allosteric communication between binding sites that are ~30 Å apart, remains elusive. We construct an atomically detailed model of G protein activation by...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224197/ https://www.ncbi.nlm.nih.gov/pubmed/30289386 http://dx.doi.org/10.7554/eLife.38465 |
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author | Sun, Xianqiang Singh, Sukrit Blumer, Kendall J Bowman, Gregory R |
author_facet | Sun, Xianqiang Singh, Sukrit Blumer, Kendall J Bowman, Gregory R |
author_sort | Sun, Xianqiang |
collection | PubMed |
description | Activation of heterotrimeric G proteins is a key step in many signaling cascades. However, a complete mechanism for this process, which requires allosteric communication between binding sites that are ~30 Å apart, remains elusive. We construct an atomically detailed model of G protein activation by combining three powerful computational methods: metadynamics, Markov state models (MSMs), and CARDS analysis of correlated motions. We uncover a mechanism that is consistent with a wide variety of structural and biochemical data. Surprisingly, the rate-limiting step for GDP release correlates with tilting rather than translation of the GPCR-binding helix 5. β-Strands 1 – 3 and helix 1 emerge as hubs in the allosteric network that links conformational changes in the GPCR-binding site to disordering of the distal nucleotide-binding site and consequent GDP release. Our approach and insights provide foundations for understanding disease-implicated G protein mutants, illuminating slow events in allosteric networks, and examining unbinding processes with slow off-rates. |
format | Online Article Text |
id | pubmed-6224197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-62241972018-11-11 Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding Sun, Xianqiang Singh, Sukrit Blumer, Kendall J Bowman, Gregory R eLife Computational and Systems Biology Activation of heterotrimeric G proteins is a key step in many signaling cascades. However, a complete mechanism for this process, which requires allosteric communication between binding sites that are ~30 Å apart, remains elusive. We construct an atomically detailed model of G protein activation by combining three powerful computational methods: metadynamics, Markov state models (MSMs), and CARDS analysis of correlated motions. We uncover a mechanism that is consistent with a wide variety of structural and biochemical data. Surprisingly, the rate-limiting step for GDP release correlates with tilting rather than translation of the GPCR-binding helix 5. β-Strands 1 – 3 and helix 1 emerge as hubs in the allosteric network that links conformational changes in the GPCR-binding site to disordering of the distal nucleotide-binding site and consequent GDP release. Our approach and insights provide foundations for understanding disease-implicated G protein mutants, illuminating slow events in allosteric networks, and examining unbinding processes with slow off-rates. eLife Sciences Publications, Ltd 2018-10-05 /pmc/articles/PMC6224197/ /pubmed/30289386 http://dx.doi.org/10.7554/eLife.38465 Text en © 2018, Sun et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Sun, Xianqiang Singh, Sukrit Blumer, Kendall J Bowman, Gregory R Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding |
title | Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding |
title_full | Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding |
title_fullStr | Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding |
title_full_unstemmed | Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding |
title_short | Simulation of spontaneous G protein activation reveals a new intermediate driving GDP unbinding |
title_sort | simulation of spontaneous g protein activation reveals a new intermediate driving gdp unbinding |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224197/ https://www.ncbi.nlm.nih.gov/pubmed/30289386 http://dx.doi.org/10.7554/eLife.38465 |
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