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The pocketome of G-protein-coupled receptors reveals previously untargeted allosteric sites

Author

Listed:
  • Janik B. Hedderich

    (Philipps-University Marburg)

  • Margherita Persechino

    (Philipps-University Marburg)

  • Katharina Becker

    (Philipps-University Marburg)

  • Franziska M. Heydenreich

    (Stanford University School of Medicine
    Université de Montréal)

  • Torben Gutermuth

    (Philipps-University Marburg)

  • Michel Bouvier

    (Université de Montréal)

  • Moritz Bünemann

    (Philipps-University Marburg)

  • Peter Kolb

    (Philipps-University Marburg)

Abstract

G-protein-coupled receptors do not only feature the orthosteric pockets, where most endogenous agonists bind, but also a multitude of other allosteric pockets that have come into the focus as potential binding sites for synthetic modulators. Here, to better characterise such pockets, we investigate 557 GPCR structures by exhaustively docking small molecular probes in silico and converting the ensemble of binding locations to pocket-defining volumes. Our analysis confirms all previously identified pockets and reveals nine previously untargeted sites. In order to test for the feasibility of functional modulation of receptors through binding of a ligand to such sites, we mutate residues in two sites, in two model receptors, the muscarinic acetylcholine receptor M3 and β2-adrenergic receptor. Moreover, we analyse the correlation of inter-residue contacts with the activation states of receptors and show that contact patterns closely correlating with activation indeed coincide with these sites.

Suggested Citation

  • Janik B. Hedderich & Margherita Persechino & Katharina Becker & Franziska M. Heydenreich & Torben Gutermuth & Michel Bouvier & Moritz Bünemann & Peter Kolb, 2022. "The pocketome of G-protein-coupled receptors reveals previously untargeted allosteric sites," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29609-6
    DOI: 10.1038/s41467-022-29609-6
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    as
    1. Antoine Koehl & Hongli Hu & Dan Feng & Bingfa Sun & Yan Zhang & Michael J. Robertson & Matthew Chu & Tong Sun Kobilka & Toon Laeremans & Jan Steyaert & Jeffrey Tarrasch & Somnath Dutta & Rasmus Fonsec, 2019. "Author Correction: Structural insights into the activation of metabotropic glutamate receptors," Nature, Nature, vol. 567(7747), pages 10-10, March.
    2. Antoine Koehl & Hongli Hu & Dan Feng & Bingfa Sun & Yan Zhang & Michael J. Robertson & Matthew Chu & Tong Sun Kobilka & Toon Laeremans & Jan Steyaert & Jeffrey Tarrasch & Somnath Dutta & Rasmus Fonsec, 2019. "Structural insights into the activation of metabotropic glutamate receptors," Nature, Nature, vol. 566(7742), pages 79-84, February.
    3. Hamidreza Shaye & Andrii Ishchenko & Jordy Homing Lam & Gye Won Han & Li Xue & Philippe Rondard & Jean-Philippe Pin & Vsevolod Katritch & Cornelius Gati & Vadim Cherezov, 2020. "Structural basis of the activation of a metabotropic GABA receptor," Nature, Nature, vol. 584(7820), pages 298-303, August.
    4. Shaoyong Lu & Xinheng He & Zhao Yang & Zongtao Chai & Shuhua Zhou & Junyan Wang & Ashfaq Ur Rehman & Duan Ni & Jun Pu & Jinpeng Sun & Jian Zhang, 2021. "Activation pathway of a G protein-coupled receptor uncovers conformational intermediates as targets for allosteric drug design," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    5. Yang Gao & Michael J. Robertson & Sabrina N. Rahman & Alpay B. Seven & Chensong Zhang & Justin G. Meyerowitz & Ouliana Panova & Fadil M. Hannan & Rajesh V. Thakker & Hans Bräuner-Osborne & Jesper M. M, 2021. "Asymmetric activation of the calcium-sensing receptor homodimer," Nature, Nature, vol. 595(7867), pages 455-459, July.
    6. Yi Zheng & Ling Qin & Natalia V. Ortiz Zacarías & Henk de Vries & Gye Won Han & Martin Gustavsson & Marta Dabros & Chunxia Zhao & Robert J. Cherney & Percy Carter & Dean Stamos & Ruben Abagyan & Vadim, 2016. "Structure of CC chemokine receptor 2 with orthosteric and allosteric antagonists," Nature, Nature, vol. 540(7633), pages 458-461, December.
    7. Juan Du & Dejian Wang & Hongcheng Fan & Chanjuan Xu & Linhua Tai & Shuling Lin & Shuo Han & Qiuxiang Tan & Xinwei Wang & Tuo Xu & Hui Zhang & Xiaojing Chu & Cuiying Yi & Peng Liu & Xiaomei Wang & Yu Z, 2021. "Structures of human mGlu2 and mGlu7 homo- and heterodimers," Nature, Nature, vol. 594(7864), pages 589-593, June.
    8. Xiangyu Liu & Seungkirl Ahn & Alem W. Kahsai & Kai-Cheng Meng & Naomi R. Latorraca & Biswaranjan Pani & A. J. Venkatakrishnan & Ali Masoudi & William I. Weis & Ron O. Dror & Xin Chen & Robert J. Lefko, 2017. "Mechanism of intracellular allosteric β2AR antagonist revealed by X-ray crystal structure," Nature, Nature, vol. 548(7668), pages 480-484, August.
    9. Charles R. Harris & K. Jarrod Millman & Stéfan J. Walt & Ralf Gommers & Pauli Virtanen & David Cournapeau & Eric Wieser & Julian Taylor & Sebastian Berg & Nathaniel J. Smith & Robert Kern & Matti Picu, 2020. "Array programming with NumPy," Nature, Nature, vol. 585(7825), pages 357-362, September.
    10. Christine Oswald & Mathieu Rappas & James Kean & Andrew S. Doré & James C. Errey & Kirstie Bennett & Francesca Deflorian & John A. Christopher & Ali Jazayeri & Jonathan S. Mason & Miles Congreve & Rob, 2016. "Intracellular allosteric antagonism of the CCR9 receptor," Nature, Nature, vol. 540(7633), pages 462-465, December.
    11. Gaojie Song & Dehua Yang & Yuxia Wang & Chris de Graaf & Qingtong Zhou & Shanshan Jiang & Kaiwen Liu & Xiaoqing Cai & Antao Dai & Guangyao Lin & Dongsheng Liu & Fan Wu & Yiran Wu & Suwen Zhao & Li Ye , 2017. "Human GLP-1 receptor transmembrane domain structure in complex with allosteric modulators," Nature, Nature, vol. 546(7657), pages 312-315, June.
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