The path to the G protein-coupled receptor structural landscape: Major milestones and future directions.

Journal: British journal of pharmacology
Published Date:

Abstract

G protein-coupled receptors (GPCRs) play a crucial role in cell function by transducing signals from the extracellular environment to the inside of the cell. They mediate the effects of various stimuli, including hormones, neurotransmitters, ions, photons, food tastants and odorants, and are renowned drug targets. Advancements in structural biology techniques, including X-ray crystallography and cryo-electron microscopy (cryo-EM), have driven the elucidation of an increasing number of GPCR structures. These structures reveal novel features that shed light on receptor activation, dimerization and oligomerization, dichotomy between orthosteric and allosteric modulation, and the intricate interactions underlying signal transduction, providing insights into diverse ligand-binding modes and signalling pathways. However, a substantial portion of the GPCR repertoire and their activation states remain structurally unexplored. Future efforts should prioritize capturing the full structural diversity of GPCRs across multiple dimensions. To do so, the integration of structural biology with biophysical and computational techniques will be essential. We describe in this review the progress of nuclear magnetic resonance (NMR) to examine GPCR plasticity and conformational dynamics, of atomic force microscopy (AFM) to explore the spatial-temporal dynamics and kinetic aspects of GPCRs, and the recent breakthroughs in artificial intelligence for protein structure prediction to characterize the structures of the entire GPCRome. In summary, the journey through GPCR structural biology provided in this review illustrates how far we have come in decoding these essential proteins architecture and function. Looking ahead, integrating cutting-edge biophysics and computational tools offers a path to navigating the GPCR structural landscape, ultimately advancing GPCR-based applications. LINKED ARTICLES: This article is part of a themed issue Complexity of GPCR Modulation and Signaling (ERNST). To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v182.14/issuetoc.

Authors

  • Małgorzata M Kogut-Günthel
    Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany.
  • Zeenat Zara
    Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany.
  • Alessandro Nicoli
    Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany.
  • Alexandra Steuer
    Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany.
  • Marta Lopez-Balastegui
    Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute & Pompeu Fabra University, Barcelona, Spain.
  • Jana Selent
    Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute & Pompeu Fabra University, Barcelona, Spain.
  • Sanjai Karanth
    Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany.
  • Melanie Koehler
    Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany.
  • Antonella Ciancetta
    Molecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova , via Marzolo 5, Padova, Italy.
  • Layara Akemi Abiko
    Focal Area Structural Biology and Biophysics, Biozentrum, University of Basel, Basel, Switzerland.
  • Franz Hagn
    Structural Membrane Biochemistry, Bavarian NMR Center, Dept. Bioscience, School of Natural Sciences, Technical University of Munich, Munich, Germany.
  • Antonella Di Pizio
    Leibniz Institute for Food Systems Biology at the Technical University of Munich, Germany.