Evidence map›Paper›PMID 33738925›Full record

ReviewThe FEBS journal2021

Allosteric communication regulates ligand-specific GPCR activity.

Ning Ma, Anita K Nivedha, Nagarajan Vaidehi

Open access · greenAbstract readReview
In one paragraph

Review in The FEBS journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Information Transmission in G Protein-Coupled Receptors.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. In Silico Study of Allosteric Communication Networks in GPCR Signaling Bias.International journal of molecular sciences · 2022
    Review
  20. 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

3 authors at 1 institution in 1 country.

Ning MaDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA.
Anita K NivedhaDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA.
Nagarajan VaidehiDepartment of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA.ORCID 0000-0001-8100-8132
City of Hope · US

Funding

Structural dynamics underlying GPCR-G protein selectivityR01GM117923 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2017 to 2024
$3.8M
Computationally Guided Design of Thermostable mutants of Neurotensin receptor1R01GM097261 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2011 to 2018
$2.3M
An integrated toolkit combining computational systems biology techniques with molecular dynamics simulations to delineate functionality of GPCRsR01LM013876 · NLM · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI RODIN, ANDREI, VAIDEHI, NAGARAJAN · 2022 to 2025
$1.5M
NIGMS NIH HHS R01 GM097261NIGMS NIH HHS R01 GM117923NLM NIH HHS R01 LM013876
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are membrane-bound proteins that are ubiquitously expressed in many cell types and take part in mediating multiple signaling pathways. GPCRs are dynamic proteins and exist in an equilibrium between an ensemble of conformational states such as inactive and fully active states. This dynamic nature of GPCRs is one of the factors that confers their basal activity even in the absence of any ligand-mediated activation. Ligands selectively bind and stabilize a subset of the conformations from the ensemble leading to a shift in the equilibrium toward the inactive or the active state depending on the nature of the ligand. This ligand-selective effect is achieved through allosteric communication between the ligand binding site and G protein or β-arrestin coupling site. Similarly, the G protein coupling to the receptor exerts the allosteric effect on the ligand binding region leading to increased binding affinity for agonists and decreased affinity for antagonists or inverse agonists. In this review, we enumerate the current state of our understanding of the mechanism of allosteric communication in GPCRs with a specific focus on the critical role of computational methods in delineating the residues involved in allosteric communication. Analyzing allosteric communication mechanism using molecular dynamics simulations has revealed (a) a structurally conserved mechanism of allosteric communication that regulates the G protein coupling, (b) a rational structure-based approach to designing selective ligands, and (c) an approach to designing allosteric GPCR mutants that are either ligand and G protein or β-arrestin selective.

Indexed as

Allosteric RegulationAllosteric Sitebeta-ArrestinsGTP-Binding ProteinsHumansLigandsProtein BindingProtein ConformationReceptors, Adrenergic, beta-2Receptors, G-Protein-CoupledSignal Transductionbeta-ArrestinsGTP-Binding ProteinsLigandsReceptors, Adrenergic, beta-2Receptors, G-Protein-CoupledAllosteerallosteric communicationGPCRsligand efficacymolecular dynamics

Identifiers

PMID33738925
PMCPMC9805801
OpenAlexW3138804135

What OpenQuestion holds

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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.