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Birgül Iyison N, Abboud C, Abboud D, Abdulrahman AO, Bondar AN, Dam J, Georgoussi Z, Giraldo J, Horvat A, Karoussiotis C, Paz-Castro A, Scarpa M, Schihada H, Scholz N, Güvenc Tuna B, Vardjan N. ERNEST COST action overview on the (patho)physiology of GPCRs and orphan GPCRs in the nervous system. Br J Pharmacol 2024. [PMID: 38825750 DOI: 10.1111/bph.16389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/09/2024] [Accepted: 02/24/2024] [Indexed: 06/04/2024] Open
Abstract
G protein-coupled receptors (GPCRs) are a large family of cell surface receptors that play a critical role in nervous system function by transmitting signals between cells and their environment. They are involved in many, if not all, nervous system processes, and their dysfunction has been linked to various neurological disorders representing important drug targets. This overview emphasises the GPCRs of the nervous system, which are the research focus of the members of ERNEST COST action (CA18133) working group 'Biological roles of signal transduction'. First, the (patho)physiological role of the nervous system GPCRs in the modulation of synapse function is discussed. We then debate the (patho)physiology and pharmacology of opioid, acetylcholine, chemokine, melatonin and adhesion GPCRs in the nervous system. Finally, we address the orphan GPCRs, their implication in the nervous system function and disease, and the challenges that need to be addressed to deorphanize them.
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Affiliation(s)
- Necla Birgül Iyison
- Department of Molecular Biology and Genetics, University of Bogazici, Istanbul, Turkey
| | - Clauda Abboud
- Laboratory of Molecular Pharmacology, GIGA-Molecular Biology of Diseases, University of Liege, Liege, Belgium
| | - Dayana Abboud
- Laboratory of Molecular Pharmacology, GIGA-Molecular Biology of Diseases, University of Liege, Liege, Belgium
| | | | - Ana-Nicoleta Bondar
- Faculty of Physics, University of Bucharest, Magurele, Romania
- Forschungszentrum Jülich, Institute for Computational Biomedicine (IAS-5/INM-9), Jülich, Germany
| | - Julie Dam
- Institut Cochin, CNRS, INSERM, Université Paris Cité, Paris, France
| | - Zafiroula Georgoussi
- Laboratory of Cellular Signalling and Molecular Pharmacology, Institute of Biosciences and Applications, National Center for Scientific Research "Demokritos", Athens, Greece
| | - Jesús Giraldo
- Laboratory of Molecular Neuropharmacology and Bioinformatics, Unitat de Bioestadística and Institut de Neurociències, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Unitat de Neurociència Traslacional, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT), Institut de Neurociències, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Anemari Horvat
- Laboratory of Neuroendocrinology - Molecular Cell Physiology, Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Laboratory of Cell Engineering, Celica Biomedical, Ljubljana, Slovenia
| | - Christos Karoussiotis
- Laboratory of Cellular Signalling and Molecular Pharmacology, Institute of Biosciences and Applications, National Center for Scientific Research "Demokritos", Athens, Greece
| | - Alba Paz-Castro
- Molecular Pharmacology of GPCRs research group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidade de Santiago de Compostela, Santiago, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago, Spain
| | - Miriam Scarpa
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Hannes Schihada
- Department of Pharmaceutical Chemistry, Philipps-University Marburg, Marburg, Germany
| | - Nicole Scholz
- Rudolf Schönheimer Institute of Biochemistry, Division of General Biochemistry, Medical Faculty, Leipzig University, Leipzig, Germany
| | - Bilge Güvenc Tuna
- Department of Biophysics, School of Medicine, Yeditepe University, Istanbul, Turkey
| | - Nina Vardjan
- Laboratory of Neuroendocrinology - Molecular Cell Physiology, Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Laboratory of Cell Engineering, Celica Biomedical, Ljubljana, Slovenia
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2
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Soriano-Ursúa MA, Arias-Montaño JA, Ocampo-Néstor AL, Hernández-Martínez CF, Santillán-Torres I, Andrade-Jorge E, Valdez-Ortiz R, Fernández-Del Valle C, Trujillo-Ferrara JG. In silico identification of a biarylamine acting as agonist at human β 3 adrenoceptors and exerting BRL37344-like effects on mouse metabolism. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024; 397:2159-2170. [PMID: 37792048 DOI: 10.1007/s00210-023-02753-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/26/2023] [Indexed: 10/05/2023]
Abstract
Human β3-adrenoceptor (β3AR) agonists were considered potential agents for the treatment of metabolic disorders. However, compounds tested as β3AR ligands have shown marked differences in pharmacological profile in rodent and human species, although these compounds remain attractive as they were successfully repurposed for the therapy of urinary incontinence. In this work, some biarylamine compounds were designed and tested in silico as potential β3AR agonists on 3-D models of mouse or human β3ARs. Based on the theoretical results, we identified, synthesized and tested a biarylamine compound (polibegron). In CHO-K1 cells expressing the human β3AR, polibegron and the β3AR agonist BRL 37344 were partial agonists for stimulating cAMP accumulation (50 and 57% of the response to isoproterenol, respectively). The potency of polibegron was 1.71- and 4.5-fold higher than that of isoproterenol and BRL37344, respectively. These results indicate that polibegron acts as a potent, but partial, agonist at human β3ARs. In C57BL/6N mice with obesity induced by a high-fat diet, similar effects of the equimolar intraperitoneal administration of polibegron and BRL37344 were observed on weight, visceral fat and plasma levels of glucose, cholesterol and triglycerides. Similarities and differences between species related to ligand-receptor interactions can be useful for drug designing.
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Affiliation(s)
- Marvin A Soriano-Ursúa
- Departamentos de Fisiología, Bioquímica y Sección de Estudios de Posgrado E Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, 11340, Mexico City, Mexico.
| | - José-Antonio Arias-Montaño
- Departamento de Fisiología, Biofísica y Neurociencias, Centro de Investigación y de Estudios Avanzados del I.P.N., Av. IPN 2508, 07360, Mexico City, Mexico
| | - Ana-Lilia Ocampo-Néstor
- Departamentos de Fisiología, Bioquímica y Sección de Estudios de Posgrado E Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, 11340, Mexico City, Mexico
- Departamento de Nefrología, Hospital General de México "Dr. Eduardo Liceaga", Dr. Balmis 148, Alc. Cuauhtémoc, 06720, Mexico City, Mexico
| | - Christian F Hernández-Martínez
- Departamentos de Fisiología, Bioquímica y Sección de Estudios de Posgrado E Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, 11340, Mexico City, Mexico
| | - Iván Santillán-Torres
- Departamento de Fisiología, Biofísica y Neurociencias, Centro de Investigación y de Estudios Avanzados del I.P.N., Av. IPN 2508, 07360, Mexico City, Mexico
| | - Erik Andrade-Jorge
- Departamentos de Fisiología, Bioquímica y Sección de Estudios de Posgrado E Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, 11340, Mexico City, Mexico
| | - Rafael Valdez-Ortiz
- Departamento de Nefrología, Hospital General de México "Dr. Eduardo Liceaga", Dr. Balmis 148, Alc. Cuauhtémoc, 06720, Mexico City, Mexico
| | - Cecilia Fernández-Del Valle
- Área de Investigación Médica, Productos Medix, S.A. de C.V., Calzada del Hueso 39, Ejido Viejo Santa Úrsula Coapa, Coyoacán, 04650, Mexico City, Mexico
| | - José G Trujillo-Ferrara
- Departamentos de Fisiología, Bioquímica y Sección de Estudios de Posgrado E Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, 11340, Mexico City, Mexico.
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3
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Kragelund BB, Loland CJ, Montoya G, Hatzakis N, Martinez KL, Gajhede M, Christensen CE, Holt L. Realizing integration in structural biology: The 2022 ISBUC Annual Meeting. Structure 2023; 31:747-754. [PMID: 37419096 DOI: 10.1016/j.str.2023.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/24/2023] [Accepted: 05/10/2023] [Indexed: 07/09/2023]
Abstract
This meeting report presents the 2022 Annual Meeting of the cluster for Integrative Structural Biology at the University of Copenhagen (ISBUC) and discusses the cluster approach to interdisciplinary research management. This approach successfully facilitates cross-faculty and inter-departmental collaboration. Innovative integrative research collaborations ignited by ISBUC, as well as research presented at the meeting, are showcased.
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Affiliation(s)
- Birthe B Kragelund
- University of Copenhagen, Department of Biology, Structural Biology and NMR Laboratory, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Claus Juul Loland
- Laboratory for Membrane Protein Dynamics, Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Guillermo Montoya
- Structural Molecular Biology Group, Novo Nordisk Foundation Centre for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3-B, 2200 Copenhagen, Denmark
| | - Nikos Hatzakis
- Department of Chemistry, University of Copenhagen, Copenhagen, Denmark
| | - Karen L Martinez
- Department of Chemistry, University of Copenhagen, Copenhagen, Denmark
| | - Michael Gajhede
- Peptides and Proteins, Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Jagtvej 162, 2100 Copenhagen, Denmark
| | - Caspar Elo Christensen
- University of Copenhagen, Department of Biology, Structural Biology and NMR Laboratory, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Lucy Holt
- University of Copenhagen, 2200 Copenhagen N, Denmark.
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4
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A multi-dimensional view of context-dependent G protein-coupled receptor function. Biochem Soc Trans 2023; 51:13-20. [PMID: 36688421 PMCID: PMC9987931 DOI: 10.1042/bst20210650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/24/2023]
Abstract
G protein-coupled receptor (GPCR) family members can sense an extraordinary variety of biomolecules to activate intracellular signalling cascades that modulate key aspects of cell physiology. Apart from their crucial role in maintaining cell homeostasis, these critical sensory and modulatory properties have made GPCRs the most successful drug target class to date. However, establishing direct links between receptor activation of specific intracellular partners and individual physiological outcomes is still an ongoing challenge. By studying this receptor signalling complexity at increasing resolution through the development of novel biosensors and high-throughput techniques, a growing number of studies are revealing how receptor function can be diversified in a spatial, temporal or cell-specific manner. This mini-review will introduce recent examples of this context-dependent receptor signalling and discuss how it can impact our understanding of receptor function in health and disease, and contribute to the search of more selective, efficacious and safer GPCR drug candidates.
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5
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Janetzko J, Johnson CP, Morales P, Scharf MM. Viewpoint on the Second Transatlantic GPCR Symposium for Early Career Investigators. ACS Pharmacol Transl Sci 2023; 6:195-199. [PMID: 36654756 PMCID: PMC9841771 DOI: 10.1021/acsptsci.2c00224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Indexed: 12/23/2022]
Abstract
The second Transatlantic Early Career Investigator (ECI) G Protein-Coupled Receptor (GPCR) Symposium was an online scientific meeting geared at young GPCR investigators, with the primary goal of expanding opportunities for sharing research and networking among trainees in North America and Europe. Here, we discuss the format of our meeting, its impact, and the challenges and opportunities facing meetings like it in the future.
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Affiliation(s)
- John Janetzko
- Department
of Molecular and Cellular Physiology, Stanford
University School of Medicine, Stanford, California 94305, United States
| | - Cory P. Johnson
- MDI
Biological Laboratory, Bar Harbor, Maine 04609, United States
| | - Paula Morales
- Instituto
de Química Médica, Consejo Superior de Investigaciones Científicas, Madrid 28006, Spain
| | - Magdalena M. Scharf
- Department
of Physiology and Pharmacology, Karolinska
Institutet, 171 77 Stockholm, Sweden
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6
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Fatima MT, Ahmed I, Fakhro KA, Akil ASA. Melanocortin-4 receptor complexity in energy homeostasis,obesity and drug development strategies. Diabetes Obes Metab 2022; 24:583-598. [PMID: 34882941 PMCID: PMC9302617 DOI: 10.1111/dom.14618] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 12/19/2022]
Abstract
The melanocortin-4 receptor (MC4R) has been critically investigated for the past two decades, and novel findings regarding MC4R signalling and its potential exploitation in weight loss therapy have lately been emphasized. An association between MC4R and obesity is well established, with disease-causing mutations affecting 1% to 6% of obese patients. More than 200 MC4R variants have been reported, although conflicting results as to their effects have been found in different cohorts. Most notably, some MC4R gain-of-function variants seem to rescue obesity and related complications via specific pathways such as beta-arrestin (ß-arrestin) recruitment. Broadly speaking, however, dysfunctional MC4R dysregulates satiety and induces hyperphagia. The picture at the mechanistic level is complicated as, in addition to the canonical G stimulatory pathway, the ß-arrestin signalling pathway and ions (particularly calcium) seem to interact with MC4R signalling to contribute to or alleviate obesity pathogenesis. Thus, the overall complexity of the MC4R signalling spectra has broadened considerably, indicating there is great potential for the development of new drugs to manage obesity and its related complications. Alpha-melanocyte-stimulating hormone is the major endogenous MC4R agonist, but structure-based ligand discovery studies have identified possible superior and selective agonists that can improve MC4R function. However, some of these agonists characterized in vitro and in vivo confer adverse effects in patients, as demonstrated in clinical trials. In this review, we provide a comprehensive insight into the genetics, function and regulation of MC4R and its contribution to obesity. We also outline new approaches in drug development and emerging drug candidates to treat obesity.
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Affiliation(s)
- Munazza Tamkeen Fatima
- Department of Human Genetics, Translational Medicine DivisionResearch Branch, Sidra MedicineDohaQatar
| | - Ikhlak Ahmed
- Department of Human Genetics, Translational Medicine DivisionResearch Branch, Sidra MedicineDohaQatar
| | - Khalid Adnan Fakhro
- Department of Human Genetics, Translational Medicine DivisionResearch Branch, Sidra MedicineDohaQatar
- Department of Genetic MedicineWeill Cornell MedicineDohaQatar
- College of Health and Life SciencesHamad Bin Khalifa UniversityDohaQatar
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7
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Kolb P, Kenakin T, Alexander SPH, Bermudez M, Bohn LM, Breinholt CS, Bouvier M, Hill SJ, Kostenis E, Martemyanov K, Neubig RR, Onaran HO, Rajagopal S, Roth BL, Selent J, Shukla AK, Sommer ME, Gloriam DE. Community Guidelines for GPCR Ligand Bias: IUPHAR Review XX. Br J Pharmacol 2022; 179:3651-3674. [PMID: 35106752 PMCID: PMC7612872 DOI: 10.1111/bph.15811] [Citation(s) in RCA: 83] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 01/11/2022] [Accepted: 01/13/2022] [Indexed: 11/29/2022] Open
Abstract
G protein-coupled receptors modulate a plethora of physiological processes and mediate the effects of one-third of FDA-approved drugs. Depending on which ligand activates a receptor, it can engage different intracellular transducers. This 'biased signaling' paradigm requires that we now characterize physiological signaling not just by receptors but by ligand-receptor pairs. Ligands eliciting biased signaling may constitute better drugs with higher efficacy and fewer adverse effects. However, ligand bias is very complex, making reproducibility and description challenging. Here, we provide guidelines and terminology for any scientists to design and report ligand bias experiments. The guidelines will aid consistency and clarity, as the basic receptor research and drug discovery communities continue to advance our understanding and exploitation of ligand bias. Scientific insight, biosensors, and analytical methods are still evolving and should benefit from and contribute to the implementation of the guidelines, together improving translation from in vitro to disease-relevant in vivo models.
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Affiliation(s)
- Peter Kolb
- Department of Pharmaceutical Chemistry, Philipps-University Marburg, Marburg, Germany
| | - Terry Kenakin
- Department of Pharmacology, University of North Carolina School of Medicine, North, Carolina, USA
| | | | - Marcel Bermudez
- Department of Pharmaceutical and Medicinal Chemistry, University of Münster, Münster, Germany
| | - Laura M Bohn
- Department of Molecular Medicine, The Scripps Research Institute, Jupiter, FL, USA
| | - Christian S Breinholt
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Michel Bouvier
- Department of Biochemistry and Molecular Medicine, Institute for Research in Immunology and Cancer, Université de Montréal, Québec, Canada
| | - Stephen J Hill
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Evi Kostenis
- Molecular, Cellular, and Pharmacobiology Section, Institute for Pharmaceutical Biology, University of Bonn, Bonn, Germany
| | - Kirill Martemyanov
- Department of Neuroscience, The Scripps Research Institute, Jupiter, FL, USA
| | - Rick R Neubig
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, MI, USA
| | - H Ongun Onaran
- Molecular Biology and Technology Development Unit, Department of Pharmacology, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Sudarshan Rajagopal
- Department of Medicine, Duke University Medical Center, Durham, NC, USA.,Department of Biochemistry, Duke University Medical Center, Durham, NC, USA
| | - Bryan L Roth
- Department of Pharmacology, University of North Carolina School of Medicine, North, Carolina, USA
| | - Jana Selent
- Research Programme on Biomedical Informatics, Hospital Del Mar Medical Research Institute, Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Arun K Shukla
- Department of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India
| | - Martha E Sommer
- Institute of Medical Physics and Biophysics, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Current affiliation: ISAR Bioscience Institute, Munich-Planegg, Germany
| | - David E Gloriam
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
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8
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Wiseman DN, Samra N, Román Lara MM, Penrice SC, Goddard AD. The Novel Application of Geometric Morphometrics with Principal Component Analysis to Existing G Protein-Coupled Receptor (GPCR) Structures. Pharmaceuticals (Basel) 2021; 14:953. [PMID: 34681177 PMCID: PMC8541025 DOI: 10.3390/ph14100953] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 09/17/2021] [Accepted: 09/19/2021] [Indexed: 12/24/2022] Open
Abstract
The G protein-coupled receptor (GPCR) superfamily is a large group of membrane proteins which, because of their vast involvement in cell signalling pathways, are implicated in a plethora of disease states and are therefore considered to be key drug targets. Despite advances in techniques to study these receptors, current prophylaxis is often limited due to the challenging nature of their dynamic, complex structures. Greater knowledge and understanding of their intricate structural rearrangements will therefore undoubtedly aid structure-based drug design against GPCRs. Disciplines such as anthropology and palaeontology often use geometric morphometrics to measure variation between shapes and we have therefore applied this technique to analyse GPCR structures in a three-dimensional manner, using principal component analysis. Our aim was to create a novel system able to discriminate between GPCR structures and discover variation between them, correlated with a variety of receptor characteristics. This was conducted by assessing shape changes at the extra- and intracellular faces of the transmembrane helix bundle, analysing the XYZ coordinates of the amino acids at those positions. We have demonstrated that GPCR structures can be classified based on characteristics such as activation state, bound ligands and fusion proteins, with the most significant results focussed at the intracellular face. Conversely, our analyses provide evidence that thermostabilising mutations do not cause significant differences when compared to non-mutated GPCRs. We believe that this is the first time geometric morphometrics has been applied to membrane proteins on this scale, and believe it can be used as a future tool in sense-checking newly resolved structures and planning experimental design.
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Affiliation(s)
- Daniel N. Wiseman
- School of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK; (D.N.W.); (N.S.); (M.M.R.L.)
| | - Nikita Samra
- School of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK; (D.N.W.); (N.S.); (M.M.R.L.)
| | - María Monserrat Román Lara
- School of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK; (D.N.W.); (N.S.); (M.M.R.L.)
| | - Samantha C. Penrice
- School of Technology, BPP University, BPP House, Aldine Place, 142-144 Uxbridge Road, London W12 8AA, UK;
| | - Alan D. Goddard
- School of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK; (D.N.W.); (N.S.); (M.M.R.L.)
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9
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Alhosaini K, Azhar A, Alonazi A, Al-Zoghaibi F. GPCRs: The most promiscuous druggable receptor of the mankind. Saudi Pharm J 2021; 29:539-551. [PMID: 34194261 PMCID: PMC8233523 DOI: 10.1016/j.jsps.2021.04.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 04/13/2021] [Indexed: 12/11/2022] Open
Abstract
All physiological events in living organisms originated as specific chemical/biochemical signals on the cell surface and transmitted into the cytoplasm. This signal is translated within milliseconds-hours to a specific and unique order required to maintain optimum performance and homeostasis of living organisms. Examples of daily biological functions include neuronal communication and neurotransmission in the process of learning and memory, secretion (hormones, sweat, and saliva), muscle contraction, cellular growth, differentiation and migration during wound healing, and immunity to fight infections. Among the different transducers for such life-dependent signals is the large family of G protein-coupled receptors (GPCRs). GPCRs constitute roughly 800 genes, corresponding to 2% of the human genome. While GPCRs control a plethora of pathophysiological disorders, only approximately one-third of GPCR families have been deorphanized and characterized. Recent drug data show that around 40% of the recommended drugs available in the market target mainly GPCRs. In this review, we presented how such system signals, either through G protein or via other players, independent of G protein, function within the biological system. We also discussed drugs in the market or clinical trials targeting mainly GPCRs in various diseases, including cancer.
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Key Words
- AC, Adenylyl Cyclase
- Arrestin
- CCR, Chemokine Receptor
- COX, Cyclooxygenase
- DAG, Diacylglycerol
- Drugs
- ERK, Extracellular signal-Regulated Kinase
- G proteins
- GIP, Gastric Inhibitory Peptide
- GLP1R, Glucagon-Like Peptide-1 Receptor
- GPCR
- GRKs
- GRKs, G protein-coupled Receptor Kinases
- Heterodimerization
- IP3, Inositol 1,4,5-triphosphate
- MAPK, Mitogen-Activated Protein Kinase
- NMDA, N-Methyl D-Aspartate
- Nbs, Nanobodies
- PAR-1, Protease Activated Receptor 1
- PIP2, Phosphatidylinositol-4,5-bisphosphate
- PKA, Protein Kinase A
- Signaling
- cAMP, cyclic AMP
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Affiliation(s)
- Khaled Alhosaini
- Department of Pharmacology & Toxicology, College of Pharmacy, King Saud University, Post Box 2457, Riyadh 11451, Saudi Arabia
| | - Asim Azhar
- Interdisciplinary Biotechnology Unit, AMU Aligarh, UP, India
| | - Asma Alonazi
- Department of Pharmacology & Toxicology, College of Pharmacy, King Saud University, Post Box 2457, Riyadh 11451, Saudi Arabia
| | - F Al-Zoghaibi
- Molecular BioMedicine Program, Research Centre, King Faisal Specialist Hospital and Research Centre, P.O.Box: 3354, MBC:03, Riyadh 11211, Saudi Arabia
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10
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Biased Ligands Differentially Shape the Conformation of the Extracellular Loop Region in 5-HT 2B Receptors. Int J Mol Sci 2020; 21:ijms21249728. [PMID: 33419260 PMCID: PMC7767279 DOI: 10.3390/ijms21249728] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 12/16/2020] [Accepted: 12/18/2020] [Indexed: 01/05/2023] Open
Abstract
G protein-coupled receptors are linked to various intracellular transducers, each pathway associated with different physiological effects. Biased ligands, capable of activating one pathway over another, are gaining attention for their therapeutic potential, as they could selectively activate beneficial pathways whilst avoiding those responsible for adverse effects. We performed molecular dynamics simulations with known β-arrestin-biased ligands like lysergic acid diethylamide and ergotamine in complex with the 5-HT2B receptor and discovered that the extent of ligand bias is directly connected with the degree of closure of the extracellular loop region. Given a loose allosteric coupling of extracellular and intracellular receptor regions, we delineate a concept for biased signaling at serotonin receptors, by which conformational interference with binding pocket closure restricts the signaling repertoire of the receptor. Molecular docking studies of biased ligands gathered from the BiasDB demonstrate that larger ligands only show plausible docking poses in the ergotamine-bound structure, highlighting the conformational constraints associated with bias. This emphasizes the importance of selecting the appropriate receptor conformation on which to base virtual screening workflows in structure-based drug design of biased ligands. As this mechanism of ligand bias has also been observed for muscarinic receptors, our studies provide a general mechanism of signaling bias transferable between aminergic receptors.
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11
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Torrens-Fontanals M, Stepniewski TM, Aranda-García D, Morales-Pastor A, Medel-Lacruz B, Selent J. How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs. Int J Mol Sci 2020; 21:E5933. [PMID: 32824756 PMCID: PMC7460635 DOI: 10.3390/ijms21165933] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/11/2020] [Accepted: 08/15/2020] [Indexed: 01/08/2023] Open
Abstract
G protein-coupled receptors (GPCRs) are implicated in nearly every physiological process in the human body and therefore represent an important drug targeting class. Advances in X-ray crystallography and cryo-electron microscopy (cryo-EM) have provided multiple static structures of GPCRs in complex with various signaling partners. However, GPCR functionality is largely determined by their flexibility and ability to transition between distinct structural conformations. Due to this dynamic nature, a static snapshot does not fully explain the complexity of GPCR signal transduction. Molecular dynamics (MD) simulations offer the opportunity to simulate the structural motions of biological processes at atomic resolution. Thus, this technique can incorporate the missing information on protein flexibility into experimentally solved structures. Here, we review the contribution of MD simulations to complement static structural data and to improve our understanding of GPCR physiology and pharmacology, as well as the challenges that still need to be overcome to reach the full potential of this technique.
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Affiliation(s)
- Mariona Torrens-Fontanals
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)—Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain; (M.T.-F.); (T.M.S.); (D.A.-G.); (A.M.-P.); (B.M.-L.)
| | - Tomasz Maciej Stepniewski
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)—Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain; (M.T.-F.); (T.M.S.); (D.A.-G.); (A.M.-P.); (B.M.-L.)
- InterAx Biotech AG, PARK innovAARE, 5234 Villigen, Switzerland
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, 02-093 Warsaw, Poland
| | - David Aranda-García
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)—Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain; (M.T.-F.); (T.M.S.); (D.A.-G.); (A.M.-P.); (B.M.-L.)
| | - Adrián Morales-Pastor
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)—Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain; (M.T.-F.); (T.M.S.); (D.A.-G.); (A.M.-P.); (B.M.-L.)
| | - Brian Medel-Lacruz
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)—Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain; (M.T.-F.); (T.M.S.); (D.A.-G.); (A.M.-P.); (B.M.-L.)
| | - Jana Selent
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM)—Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), 08003 Barcelona, Spain; (M.T.-F.); (T.M.S.); (D.A.-G.); (A.M.-P.); (B.M.-L.)
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12
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Rodríguez-Espigares I, Torrens-Fontanals M, Tiemann JKS, Aranda-García D, Ramírez-Anguita JM, Stepniewski TM, Worp N, Varela-Rial A, Morales-Pastor A, Medel-Lacruz B, Pándy-Szekeres G, Mayol E, Giorgino T, Carlsson J, Deupi X, Filipek S, Filizola M, Gómez-Tamayo JC, Gonzalez A, Gutiérrez-de-Terán H, Jiménez-Rosés M, Jespers W, Kapla J, Khelashvili G, Kolb P, Latek D, Marti-Solano M, Matricon P, Matsoukas MT, Miszta P, Olivella M, Perez-Benito L, Provasi D, Ríos S, R Torrecillas I, Sallander J, Sztyler A, Vasile S, Weinstein H, Zachariae U, Hildebrand PW, De Fabritiis G, Sanz F, Gloriam DE, Cordomi A, Guixà-González R, Selent J. GPCRmd uncovers the dynamics of the 3D-GPCRome. Nat Methods 2020; 17:777-787. [PMID: 32661425 DOI: 10.1038/s41592-020-0884-y] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/29/2020] [Indexed: 11/08/2022]
Abstract
G-protein-coupled receptors (GPCRs) are involved in numerous physiological processes and are the most frequent targets of approved drugs. The explosion in the number of new three-dimensional (3D) molecular structures of GPCRs (3D-GPCRome) over the last decade has greatly advanced the mechanistic understanding and drug design opportunities for this protein family. Molecular dynamics (MD) simulations have become a widely established technique for exploring the conformational landscape of proteins at an atomic level. However, the analysis and visualization of MD simulations require efficient storage resources and specialized software. Here we present GPCRmd (http://gpcrmd.org/), an online platform that incorporates web-based visualization capabilities as well as a comprehensive and user-friendly analysis toolbox that allows scientists from different disciplines to visualize, analyze and share GPCR MD data. GPCRmd originates from a community-driven effort to create an open, interactive and standardized database of GPCR MD simulations.
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Affiliation(s)
- Ismael Rodríguez-Espigares
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Mariona Torrens-Fontanals
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Johanna K S Tiemann
- Institute of Medical Physics and Biophysics, Charite University Medicine Berlin, Berlin, Germany
- Institute of Medical Physics and Biophysics, Medical University Leipzig, Leipzig, Sachsen, Germany
| | - David Aranda-García
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Juan Manuel Ramírez-Anguita
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Tomasz Maciej Stepniewski
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Nathalie Worp
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Alejandro Varela-Rial
- Computational Science Laboratory, Universitat Pompeu Fabra, Barcelona Biomedical Research Park, Barcelona, Spain
- Acellera, Barcelona, Spain
| | - Adrián Morales-Pastor
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Brian Medel-Lacruz
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Gáspár Pándy-Szekeres
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Eduardo Mayol
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Toni Giorgino
- Biophysics Institute, National Research Council of Italy, Milan, Italy
- Department of Biosciences, University of Milan, Milan, Italy
| | - Jens Carlsson
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - Xavier Deupi
- Laboratory of Biomolecular Research, Paul Scherrer Institute (PSI), Villigen PSI, Switzerland
- Condensed Matter Theory Group, PSI, Villigen PSI, Switzerland
| | - Slawomir Filipek
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Warsaw, Poland
| | - Marta Filizola
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - José Carlos Gómez-Tamayo
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Angel Gonzalez
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Hugo Gutiérrez-de-Terán
- Department of Cell and Molecular Biology, Uppsala University, Biomedical Center, Uppsala, Sweden
| | - Mireia Jiménez-Rosés
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Willem Jespers
- Department of Cell and Molecular Biology, Uppsala University, Biomedical Center, Uppsala, Sweden
| | - Jon Kapla
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - George Khelashvili
- Department of Physiology and Biophysics, Weill Cornell Medical College of Cornell University, New York, NY, USA
- Institute for Computational Biomedicine, Weill Cornell Medical College of Cornell University, New York, NY, USA
| | - Peter Kolb
- Department of Pharmaceutical Chemistry, Philipps-University Marburg, Marburg, Germany
| | - Dorota Latek
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Warsaw, Poland
| | - Maria Marti-Solano
- Department of Pharmaceutical Chemistry, Philipps-University Marburg, Marburg, Germany
- MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Pierre Matricon
- Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - Minos-Timotheos Matsoukas
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Department of Pharmacy, University of Patras, Patras, Greece
| | - Przemyslaw Miszta
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Warsaw, Poland
| | - Mireia Olivella
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Laura Perez-Benito
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Davide Provasi
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Santiago Ríos
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Iván R Torrecillas
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Jessica Sallander
- Department of Cell and Molecular Biology, Uppsala University, Biomedical Center, Uppsala, Sweden
| | - Agnieszka Sztyler
- Faculty of Chemistry, Biological and Chemical Research Centre, University of Warsaw, Warsaw, Poland
| | - Silvana Vasile
- Department of Cell and Molecular Biology, Uppsala University, Biomedical Center, Uppsala, Sweden
| | - Harel Weinstein
- Department of Physiology and Biophysics, Weill Cornell Medical College of Cornell University, New York, NY, USA
- Institute for Computational Biomedicine, Weill Cornell Medical College of Cornell University, New York, NY, USA
| | - Ulrich Zachariae
- Computational Biology, School of Life Sciences, University of Dundee, Dundee, UK
- Physics, School of Science and Engineering, University of Dundee, Dundee, UK
| | - Peter W Hildebrand
- Institute of Medical Physics and Biophysics, Charite University Medicine Berlin, Berlin, Germany
- Institute of Medical Physics and Biophysics, Medical University Leipzig, Leipzig, Sachsen, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Gianni De Fabritiis
- Computational Science Laboratory, Universitat Pompeu Fabra, Barcelona Biomedical Research Park, Barcelona, Spain
- Acellera, Barcelona, Spain
| | - Ferran Sanz
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - David E Gloriam
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Arnau Cordomi
- Laboratori de Medicina Computacional, Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Ramon Guixà-González
- Laboratory of Biomolecular Research, Paul Scherrer Institute (PSI), Villigen PSI, Switzerland.
- Condensed Matter Theory Group, PSI, Villigen PSI, Switzerland.
| | - Jana Selent
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute-Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain.
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13
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Shchepinova MM, Hanyaloglu AC, Frost GS, Tate EW. Chemical biology of noncanonical G protein-coupled receptor signaling: Toward advanced therapeutics. Curr Opin Chem Biol 2020; 56:98-110. [PMID: 32446179 DOI: 10.1016/j.cbpa.2020.04.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 04/17/2020] [Indexed: 12/20/2022]
Abstract
G protein-coupled receptors (GPCRs), the largest family of signaling membrane proteins, are the target of more than 30% of the drugs on the market. Recently, it has become clear that GPCR functions are far more multidimensional than previously thought, with multiple noncanonical aspects coming to light, including biased, oligomeric, and compartmentalized signaling. These additional layers of functional selectivity greatly expand opportunities for advanced therapeutic interventions, but the development of new chemical biology tools is absolutely required to improve our understanding of noncanonical GPCR regulation and pave the way for future drugs. In this opinion, we highlight the most notable examples of chemical and chemogenetic tools addressing new paradigms in GPCR signaling, discuss their promises and limitations, and explore future directions.
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Affiliation(s)
- Maria M Shchepinova
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, 80 Wood Lane, London, W12 0BZ, UK.
| | - Aylin C Hanyaloglu
- Institute of Reproductive and Developmental Biology, Dept. Surgery and Cancer, Imperial College, London, UK
| | - Gary S Frost
- Department of Medicine, Faculty of Medicine, Nutrition and Dietetic Research Group, Imperial College, London, UK
| | - Edward W Tate
- Department of Chemistry, Imperial College London, Molecular Sciences Research Hub, 80 Wood Lane, London, W12 0BZ, UK.
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14
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Tobin AB, Bradley SJ. Editorial for Advances in G Protein-Coupled Receptor Signal Transduction Special Issue. ACS Pharmacol Transl Sci 2020; 3:169-170. [PMID: 32296759 PMCID: PMC7155192 DOI: 10.1021/acsptsci.0c00029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Andrew B Tobin
- Centre for Translational Pharmacology, Institute of Molecular Cell and Systems Biology, University of Glasgow, Glasgow, G12 8QQ, U.K
| | - Sophie J Bradley
- Centre for Translational Pharmacology, Institute of Molecular Cell and Systems Biology, University of Glasgow, Glasgow, G12 8QQ, U.K
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