ArticleBiophysical journal2008
Ligand-stabilized conformational states of human beta(2) adrenergic receptor: insight into G-protein-coupled receptor activation.
Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed, 111 citations in OpenAlex.
- Agonist-specific conformational dynamics at the βBritish journal of pharmacology · 2026Article
- G Protein-Coupled Receptors in Cerebrovascular Diseases: Signaling Mechanisms and Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- Mechanistic basis of GPCR activation explored by ensemble refinement of crystallographic structures.Protein science : a publication of the Protein Society · 2022Article
- Structure-based discovery of nonopioid analgesics acting through the αScience (New York, N.Y.) · 2022Article
- Development of enhanced conformational sampling methods to probe the activation landscape of GPCRs.Advances in protein chemistry and structural biology · 2022Review
- Molecular dynamics of the histamine H3 membrane receptor reveals different mechanisms of GPCR signal transduction.Scientific reports · 2020Article
- Machine Learning for Prioritization of Thermostabilizing Mutations for G-Protein Coupled Receptors.Biophysical journal · 2019Article
- Prediction of Conformation Specific Thermostabilizing Mutations for Class A G Protein-Coupled Receptors.Journal of chemical information and modeling · 2019Article
- Molecular pathways of oestrogen receptors and β-adrenergic receptors in cardiac cells: Recognition of their similarities, interactions and therapeutic value.Acta physiologica (Oxford, England) · 2018Review
- Bioluminescence resonance energy transfer-based biosensors allow monitoring of ligand- and transducer-mediated GPCR conformational changes.Communications biology · 2018Article
- Structural Features and Ligand Selectivity for 10 Intermediates in the Activation Process of βACS omega · 2017Article
- Evolutionary action and structural basis of the allosteric switch controlling βNature communications · 2017Article
- Oxabicycloheptene Sulfonate Protects Against β-Amyloid-induced Toxicity by Activation of PI3K/Akt and ERK Signaling Pathways Via GPER1 in C6 Cells.Neurochemical research · 2017Article
- Structural Elements in the Gαs and Gαq C Termini That Mediate Selective G Protein-coupled Receptor (GPCR) Signaling.The Journal of biological chemistry · 2016Article
- How Can Mutations Thermostabilize G-Protein-Coupled Receptors?Trends in pharmacological sciences · 2016Review
- Residues remote from the binding pocket control the antagonist selectivity towards the corticotropin-releasing factor receptor-1.Scientific reports · 2015Article
- Rapid Computational Prediction of Thermostabilizing Mutations for G Protein-Coupled Receptors.Journal of chemical theory and computation · 2014Article
- Understanding the effects on constitutive activation and drug binding of a D130N mutation in the β2 adrenergic receptor via molecular dynamics simulation.Journal of molecular modeling · 2014Article
- Conformation guides molecular efficacy in docking screens of activated β-2 adrenergic G protein coupled receptor.ACS chemical biology · 2013Article
- Critical analysis of the successes and failures of homology models of G protein-coupled receptors.Proteins · 2013Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
G-protein-coupled receptors (GPCRs) are known to exist in dynamic equilibrium between inactive- and several active-state conformations, even in the absence of a ligand. Recent experimental studies on the beta(2) adrenergic receptor (beta(2)AR) indicate that structurally different ligands with varying efficacies trigger distinct conformational changes and stabilize different receptor conformations. We have developed a computational method to study the ligand-induced rotational orientation changes in the transmembrane helices of GPCRs. This method involves a systematic spanning of the rotational orientation of the transmembrane helices (TMs) that are in the vicinity of the ligand for predicting the helical rotations that occur on ligand binding. The predicted ligand-stabilized receptor conformations are characterized by a simultaneous lowering of the ligand binding energy and a significant gain in interhelical and receptor-ligand hydrogen bonds. Using the beta(2)AR as a model, we show that the receptor conformational state depends on the structure and efficacy of the ligand for a given signaling pathway. We have studied the ligand-stabilized receptor conformations of five different ligands, a full agonist, norepinephrine; a partial agonist, salbutamol; a weak partial agonist, dopamine; a very weak agonist, catechol; and an inverse agonist, ICI-115881. The predicted ligand-stabilized receptor models correlate well with the experimentally observed conformational switches in beta(2)AR, namely, the breaking of the ionic lock between R131(3.50) at the intracellular end of TM3 (part of the DRY motif) and E268(6.30) on TM6, and the rotamer toggle switch on W286(6.48) on TM6. In agreement with trp-bimane quenching experiments, we found that norepinephrine and dopamine break the ionic lock and engage the rotamer toggle switch, whereas salbutamol, a noncatechol partial agonist only breaks the ionic lock, and the weak agonist catechol only engages the rotamer toggle switch. Norepinephrine and dopamine occupy the same binding region, between TM3, TM5, and TM6, whereas the binding site of salbutamol is shifted toward TM4. Catechol binds deeper into the protein cavity compared to the other ligands, making contact with TM5 and TM6. A part of the catechol binding site overlaps with those of dopamine and norepinephrine but not with that of salbutamol. Virtual ligand screening on 10,060 ligands on the norepinephrine-stabilized receptor conformation shows an enrichment of 38% compared to ligand unbound receptor conformation. These results show that ligand-induced conformational changes are important for developing functionally specific drugs that will stabilize a particular receptor conformation. These studies represent the first step toward a more universally applicable computational method for studying ligand efficacy and GPCR activation.
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