Evidence map›Paper›PMID 27298318›Full record

ArticleThe Journal of biological chemistry2016

Ligand Binding Ensembles Determine Graded Agonist Efficacies at a G Protein-coupled Receptor.

Andreas Bock, Marcel Bermudez, Fabian Krebs, Carlo Matera, Brian Chirinda, Dominique Sydow, Clelia Dallanoce, Ulrike Holzgrabe, Marco De Amici, Martin J Lohse and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 102 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Andreas BockFrom the Institute of Pharmacology and Toxicology, University of Würzburg, Versbacher Strasse 9, 97078 Würzburg, Germany, andreas.bock@uni-wuerzburg.de.
Marcel BermudezInstitute of Pharmacy, Freie Universität Berlin, Königin-Luise-Strasse 2 und 4, 14195 Berlin, Germany, m.bermudez@fu-berlin.de.
Fabian KrebsPharmacology and Toxicology Section, Institute of Pharmacy, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany.
Carlo MateraDipartimento di Scienze Farmaceutiche, Sezione di Chimica Farmaceutica "Pietro Pratesi," Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy, and.
Brian ChirindaPharmacology and Toxicology Section, Institute of Pharmacy, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany.
Dominique SydowInstitute of Pharmacy, Freie Universität Berlin, Königin-Luise-Strasse 2 und 4, 14195 Berlin, Germany.
Clelia DallanoceDipartimento di Scienze Farmaceutiche, Sezione di Chimica Farmaceutica "Pietro Pratesi," Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy, and.
Ulrike HolzgrabeInstitute of Pharmacy, University of Würzburg, Am Hubland, 97074 Würzburg, Germany.
Marco De AmiciDipartimento di Scienze Farmaceutiche, Sezione di Chimica Farmaceutica "Pietro Pratesi," Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy, and.
Martin J LohseFrom the Institute of Pharmacology and Toxicology, University of Würzburg, Versbacher Strasse 9, 97078 Würzburg, Germany.
Gerhard WolberInstitute of Pharmacy, Freie Universität Berlin, Königin-Luise-Strasse 2 und 4, 14195 Berlin, Germany.
Klaus MohrPharmacology and Toxicology Section, Institute of Pharmacy, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany, k.mohr@uni-bonn.de.
Freie Universität Berlin · DEUniversity of Bonn · DEUniversity of Milan · ITUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

G protein-coupled receptors constitute the largest family of membrane receptors and modulate almost every physiological process in humans. Binding of agonists to G protein-coupled receptors induces a shift from inactive to active receptor conformations. Biophysical studies of the dynamic equilibrium of receptors suggest that a portion of receptors can remain in inactive states even in the presence of saturating concentrations of agonist and G protein mimetic. However, the molecular details of agonist-bound inactive receptors are poorly understood. Here we use the model of bitopic orthosteric/allosteric (i.e. dualsteric) agonists for muscarinic M2 receptors to demonstrate the existence and function of such inactive agonist·receptor complexes on a molecular level. Using all-atom molecular dynamics simulations, dynophores (i.e. a combination of static three-dimensional pharmacophores and molecular dynamics-based conformational sampling), ligand design, and receptor mutagenesis, we show that inactive agonist·receptor complexes can result from agonist binding to the allosteric vestibule alone, whereas the dualsteric binding mode produces active receptors. Each agonist forms a distinct ligand binding ensemble, and different agonist efficacies depend on the fraction of purely allosteric (i.e. inactive) versus dualsteric (i.e. active) binding modes. We propose that this concept may explain why agonist·receptor complexes can be inactive and that adopting multiple binding modes may be generalized also to small agonists where binding modes will be only subtly different and confined to only one binding site.

Indexed as

Molecular Dynamics SimulationAllosteric RegulationAnimalsCHO CellsCricetinaeCricetulusHumansLigandsReceptor, Muscarinic M2LigandsReceptor, Muscarinic M2chemical biologydrug designdualsteric ligandsdynamic ligand bindingdynophoresG protein-coupled receptor (GPCR)ligand binding ensemblesmolecular dynamicsmolecular pharmacologypartial agonist

Identifiers

PMID27298318
PMCPMC4965584
OpenAlexW2419353873

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.