Literature DB >> 27791003

Graded activation and free energy landscapes of a muscarinic G-protein-coupled receptor.

Yinglong Miao1, J Andrew McCammon2.   

Abstract

G-protein-coupled receptors (GPCRs) recognize ligands of widely different efficacies, from inverse to partial and full agonists, which transduce cellular signals at differentiated levels. However, the mechanism of such graded activation remains unclear. Using the Gaussian accelerated molecular dynamics (GaMD) method that enables both unconstrained enhanced sampling and free energy calculation, we have performed extensive GaMD simulations (∼19 μs in total) to investigate structural dynamics of the M2 muscarinic GPCR that is bound by the full agonist iperoxo (IXO), the partial agonist arecoline (ARC), and the inverse agonist 3-quinuclidinyl-benzilate (QNB), in the presence or absence of the G-protein mimetic nanobody. In the receptor-nanobody complex, IXO binding leads to higher fluctuations in the protein-coupling interface than ARC, especially in the receptor transmembrane helix 5 (TM5), TM6, and TM7 intracellular domains that are essential elements for GPCR activation, but less flexibility in the receptor extracellular region due to stronger binding compared with ARC. Two different binding poses are revealed for ARC in the orthosteric pocket. Removal of the nanobody leads to GPCR deactivation that is characterized by inward movement of the TM6 intracellular end. Distinct low-energy intermediate conformational states are identified for the IXO- and ARC-bound M2 receptor. Both dissociation and binding of an orthosteric ligand are observed in a single all-atom GPCR simulation in the case of partial agonist ARC binding to the M2 receptor. This study demonstrates the applicability of GaMD for exploring free energy landscapes of large biomolecules and the simulations provide important insights into the GPCR functional mechanism.

Entities:  

Keywords:  allostery; cellular signaling; drug discovery; ligand recognition; protein–protein interactions

Mesh:

Substances:

Year:  2016        PMID: 27791003      PMCID: PMC5087018          DOI: 10.1073/pnas.1614538113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

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Journal:  Structure       Date:  2012-01-11       Impact factor: 5.006

3.  Ligand entry and exit pathways in the beta2-adrenergic receptor.

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Journal:  J Mol Biol       Date:  2009-08-06       Impact factor: 5.469

4.  AUTOMATED FORCE FIELD PARAMETERIZATION FOR NON-POLARIZABLE AND POLARIZABLE ATOMIC MODELS BASED ON AB INITIO TARGET DATA.

Authors:  Lei Huang; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

5.  Activation and dynamic network of the M2 muscarinic receptor.

Authors:  Yinglong Miao; Sara E Nichols; Paul M Gasper; Vincent T Metzger; J Andrew McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2013-06-18       Impact factor: 11.205

6.  Structure and dynamics of the M3 muscarinic acetylcholine receptor.

Authors:  Andrew C Kruse; Jianxin Hu; Albert C Pan; Daniel H Arlow; Daniel M Rosenbaum; Erica Rosemond; Hillary F Green; Tong Liu; Pil Seok Chae; Ron O Dror; David E Shaw; William I Weis; Jürgen Wess; Brian K Kobilka
Journal:  Nature       Date:  2012-02-22       Impact factor: 49.962

7.  Ligand-induced modulation of the free-energy landscape of G protein-coupled receptors explored by adaptive biasing techniques.

Authors:  Davide Provasi; Marta Camacho Artacho; Ana Negri; Juan Carlos Mobarec; Marta Filizola
Journal:  PLoS Comput Biol       Date:  2011-10-13       Impact factor: 4.475

8.  Activation and allosteric modulation of a muscarinic acetylcholine receptor.

Authors:  Andrew C Kruse; Aaron M Ring; Aashish Manglik; Jianxin Hu; Kelly Hu; Katrin Eitel; Harald Hübner; Els Pardon; Celine Valant; Patrick M Sexton; Arthur Christopoulos; Christian C Felder; Peter Gmeiner; Jan Steyaert; William I Weis; K Christopher Garcia; Jürgen Wess; Brian K Kobilka
Journal:  Nature       Date:  2013-11-20       Impact factor: 49.962

9.  Gaussian Accelerated Molecular Dynamics: Unconstrained Enhanced Sampling and Free Energy Calculation.

Authors:  Yinglong Miao; Victoria A Feher; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2015-07-14       Impact factor: 6.006

Review 10.  G-protein coupled receptors: advances in simulation and drug discovery.

Authors:  Yinglong Miao; J Andrew McCammon
Journal:  Curr Opin Struct Biol       Date:  2016-06-22       Impact factor: 6.809

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  49 in total

Review 1.  Understanding the mechanistic basis of non-coding RNA through molecular dynamics simulations.

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2.  CRISPR-Cas9 conformational activation as elucidated from enhanced molecular simulations.

Authors:  Giulia Palermo; Yinglong Miao; Ross C Walker; Martin Jinek; J Andrew McCammon
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Review 3.  NMR and computational methods for molecular resolution of allosteric pathways in enzyme complexes.

Authors:  Kyle W East; Erin Skeens; Jennifer Y Cui; Helen B Belato; Brandon Mitchell; Rohaine Hsu; Victor S Batista; Giulia Palermo; George P Lisi
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4.  Ligand Binding Pathways and Conformational Transitions of the HIV Protease.

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5.  Gaussian Accelerated Molecular Dynamics: Theory, Implementation, and Applications.

Authors:  Yinglong Miao; J Andrew McCammon
Journal:  Annu Rep Comput Chem       Date:  2017-08-10

6.  Pathway and mechanism of drug binding to chemokine receptors revealed by accelerated molecular simulations.

Authors:  Shristi Pawnikar; Yinglong Miao
Journal:  Future Med Chem       Date:  2020-06-09       Impact factor: 3.808

7.  Prediction of consensus binding mode geometries for related chemical series of positive allosteric modulators of adenosine and muscarinic acetylcholine receptors.

Authors:  Leon A Sakkal; Kyle Z Rajkowski; Roger S Armen
Journal:  J Comput Chem       Date:  2017-01-28       Impact factor: 3.376

8.  Membrane-embedded substrate recognition by cytochrome P450 3A4.

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Journal:  J Biol Chem       Date:  2018-01-30       Impact factor: 5.157

9.  Replica Exchange Gaussian Accelerated Molecular Dynamics: Improved Enhanced Sampling and Free Energy Calculation.

Authors:  Yu-Ming M Huang; J Andrew McCammon; Yinglong Miao
Journal:  J Chem Theory Comput       Date:  2018-03-12       Impact factor: 6.006

10.  Allosteric Motions of the CRISPR-Cas9 HNH Nuclease Probed by NMR and Molecular Dynamics.

Authors:  Kyle W East; Jocelyn C Newton; Uriel N Morzan; Yogesh B Narkhede; Atanu Acharya; Erin Skeens; Gerwald Jogl; Victor S Batista; Giulia Palermo; George P Lisi
Journal:  J Am Chem Soc       Date:  2020-01-09       Impact factor: 15.419

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