Evidence map›Paper›PMID 28710390›Full record

ArticleScientific reports2017

Conformational Transitions of the Pituitary Adenylate Cyclase-Activating Polypeptide Receptor, a Human Class B GPCR.

Chenyi Liao, Xiaochuan Zhao, Matthias Brewer, Victor May, Jianing Li

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. Article
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  14. PAC1 Receptors: Shapeshifters in Motion.Journal of molecular neuroscience : MN · 2019
    Review
  15. Article
  16. Review
  17. Review
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

5 authors.

Chenyi LiaoDepartment of Chemistry, University of Vermont, Burlington, VT, 05405, USA.
Xiaochuan ZhaoDepartment of Chemistry, University of Vermont, Burlington, VT, 05405, USA.
Matthias BrewerDepartment of Chemistry, University of Vermont, Burlington, VT, 05405, USA.
Victor MayDepartment of Neurological Sciences, College of Medicine, University of Vermont, Burlington, VT, 05405, USA.
Jianing LiDepartment of Chemistry, University of Vermont, Burlington, VT, 05405, USA. jianing.li@uvm.edu.ORCID 0000-0002-0143-8894

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FAEDER, JAMES · 2012 to 2021
$16.3M
NIGMS NIH HHS P41 GM103712
6 · The paper itself

Abstract

The G protein-coupled pituitary adenylate cyclase-activating polypeptide receptor (PAC1R) is a potential therapeutic target for endocrine, metabolic and stress-related disorders. However, many questions regarding the protein structure and dynamics of PAC1R remain largely unanswered. Using microsecond-long simulations, we examined the open and closed PAC1R conformations interconnected within an ensemble of transitional states. The open-to-closed transition can be initiated by "unzipping" the extracellular domain and the transmembrane domain, mediated by a unique segment within the β3-β4 loop. Transitions between different conformational states range between microseconds to milliseconds, which clearly implicate allosteric effects propagating from the extracellular face of the receptor to the intracellular G protein-binding site. Such allosteric dynamics provides structural and mechanistic insights for the activation and modulation of PAC1R and related class B receptors.

Indexed as

AlgorithmsBinding SitesComputer SimulationGTP-Binding ProteinsHumansKineticsModels, MolecularProtein ConformationReceptors, G-Protein-CoupledReceptors, Pituitary Adenylate Cyclase-Activating Polypeptide, Type ITime FactorsGTP-Binding ProteinsReceptors, G-Protein-CoupledReceptors, Pituitary Adenylate Cyclase-Activating Polypeptide, Type I

Identifiers

PMID28710390
PMCPMC5511175

What OpenQuestion holds

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Registered trials

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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.