Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods

The neurotransmitter molecule acetylcholine is capable of activating five muscarinic acetylcholine receptors, M1 through M5, which belong to the superfamily of G-protein-coupled receptors (GPCRs). These five receptors share high sequence and structure homology; however, the M1, M3, and M5 receptor s...

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Main Authors: Luis Jaimes Santiago, Ravinder Abrol
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/20/21/5290
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spelling doaj-e45c26e925944480bd6febd32cb438852020-11-25T02:28:31ZengMDPI AGInternational Journal of Molecular Sciences1422-00672019-10-012021529010.3390/ijms20215290ijms20215290Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational MethodsLuis Jaimes Santiago0Ravinder Abrol1Department of Chemistry and Biochemistry, California State University, Northridge, CA 91330, USADepartment of Chemistry and Biochemistry, California State University, Northridge, CA 91330, USAThe neurotransmitter molecule acetylcholine is capable of activating five muscarinic acetylcholine receptors, M1 through M5, which belong to the superfamily of G-protein-coupled receptors (GPCRs). These five receptors share high sequence and structure homology; however, the M1, M3, and M5 receptor subtypes signal preferentially through the Gαq/11 subset of G proteins, whereas the M2 and M4 receptor subtypes signal through the Gαi/o subset of G proteins, resulting in very different intracellular signaling cascades and physiological effects. The structural basis for this innate ability of the M1/M3/M5 set of receptors and the highly homologous M2/M4 set of receptors to couple to different G proteins is poorly understood. In this study, we used molecular dynamics (MD) simulations coupled with thermodynamic analyses of M1 and M2 receptors coupled to both Gαi and Gαq to understand the structural basis of the M1 receptor’s preference for the Gαq protein and the M2 receptor’s preference for the Gαi protein. The MD studies showed that the M1 and M2 receptors can couple to both Gα proteins such that the M1 receptor engages with the two Gα proteins in slightly different orientations and the M2 receptor engages with the two Gα proteins in the same orientation. Thermodynamic studies of the free energy of binding of the receptors to the Gα proteins showed that the M1 and M2 receptors bind more strongly to their cognate Gα proteins compared to their non-cognate ones, which is in line with previous experimental studies on the M3 receptor. A detailed analysis of receptor–G protein interactions showed some cognate-complex-specific interactions for the M2:Gαi complex; however, G protein selectivity determinants are spread over a large overlapping subset of residues. Conserved interaction between transmembrane helices 5 and 6 far away from the G-protein-binding receptor interface was found only in the two cognate complexes and not in the non-cognate complexes. An analysis of residues implicated previously in G protein selectivity, in light of the cognate and non-cognate structures, shaded a more nuanced role of those residues in affecting G protein selectivity. The simulation of both cognate and non-cognate receptor–G protein complexes fills a structural gap due to difficulties in determining non-cognate complex structures and provides an enhanced framework to probe the mechanisms of G protein selectivity exhibited by most GPCRs.https://www.mdpi.com/1422-0067/20/21/5290receptor–g protein interactionsmolecular mechanics/poisson–boltzmann surface area (mmpbsa)allosterymembrane protein simulationsgpcr activationmolecular dynamics
collection DOAJ
language English
format Article
sources DOAJ
author Luis Jaimes Santiago
Ravinder Abrol
spellingShingle Luis Jaimes Santiago
Ravinder Abrol
Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods
International Journal of Molecular Sciences
receptor–g protein interactions
molecular mechanics/poisson–boltzmann surface area (mmpbsa)
allostery
membrane protein simulations
gpcr activation
molecular dynamics
author_facet Luis Jaimes Santiago
Ravinder Abrol
author_sort Luis Jaimes Santiago
title Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods
title_short Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods
title_full Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods
title_fullStr Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods
title_full_unstemmed Understanding G Protein Selectivity of Muscarinic Acetylcholine Receptors Using Computational Methods
title_sort understanding g protein selectivity of muscarinic acetylcholine receptors using computational methods
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2019-10-01
description The neurotransmitter molecule acetylcholine is capable of activating five muscarinic acetylcholine receptors, M1 through M5, which belong to the superfamily of G-protein-coupled receptors (GPCRs). These five receptors share high sequence and structure homology; however, the M1, M3, and M5 receptor subtypes signal preferentially through the Gαq/11 subset of G proteins, whereas the M2 and M4 receptor subtypes signal through the Gαi/o subset of G proteins, resulting in very different intracellular signaling cascades and physiological effects. The structural basis for this innate ability of the M1/M3/M5 set of receptors and the highly homologous M2/M4 set of receptors to couple to different G proteins is poorly understood. In this study, we used molecular dynamics (MD) simulations coupled with thermodynamic analyses of M1 and M2 receptors coupled to both Gαi and Gαq to understand the structural basis of the M1 receptor’s preference for the Gαq protein and the M2 receptor’s preference for the Gαi protein. The MD studies showed that the M1 and M2 receptors can couple to both Gα proteins such that the M1 receptor engages with the two Gα proteins in slightly different orientations and the M2 receptor engages with the two Gα proteins in the same orientation. Thermodynamic studies of the free energy of binding of the receptors to the Gα proteins showed that the M1 and M2 receptors bind more strongly to their cognate Gα proteins compared to their non-cognate ones, which is in line with previous experimental studies on the M3 receptor. A detailed analysis of receptor–G protein interactions showed some cognate-complex-specific interactions for the M2:Gαi complex; however, G protein selectivity determinants are spread over a large overlapping subset of residues. Conserved interaction between transmembrane helices 5 and 6 far away from the G-protein-binding receptor interface was found only in the two cognate complexes and not in the non-cognate complexes. An analysis of residues implicated previously in G protein selectivity, in light of the cognate and non-cognate structures, shaded a more nuanced role of those residues in affecting G protein selectivity. The simulation of both cognate and non-cognate receptor–G protein complexes fills a structural gap due to difficulties in determining non-cognate complex structures and provides an enhanced framework to probe the mechanisms of G protein selectivity exhibited by most GPCRs.
topic receptor–g protein interactions
molecular mechanics/poisson–boltzmann surface area (mmpbsa)
allostery
membrane protein simulations
gpcr activation
molecular dynamics
url https://www.mdpi.com/1422-0067/20/21/5290
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