Evidence map›Paper›PMID 27497048›Full record

ReviewCurrent opinion in pharmacology2016

Allosteric communication pipelines in G-protein-coupled receptors.

Nagarajan Vaidehi, Supriyo Bhattacharya

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Allosteric Modulators of Dopamine DMolecules (Basel, Switzerland) · 2022
    Review
  9. Article
  10. Article
  11. Current Trends in GPCR Allostery.The Journal of membrane biology · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Tailor-made GPCRs.Nature chemical biology · 2020
    Article
  18. Review
  19. Article
  20. Article
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

2 authors at 2 institutions in 1 country.

Nagarajan VaidehiDepartment of Molecular Immunology, Beckman Research Institute of the City of Hope, 1500 East Duarte Road, Duarte, CA 91010, USA. Electronic address: nvaidehi@coh.org.
Supriyo BhattacharyaDepartment of Molecular Immunology, Beckman Research Institute of the City of Hope, 1500 East Duarte Road, Duarte, CA 91010, USA.
City of Hope · USCity Of Hope National Medical Center · US

Funding

Computationally Guided Design of Thermostable mutants of Neurotensin receptor1R01GM097261 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2011 to 2018
$2.3M
NIGMS NIH HHS R01 GM097261
6 · The paper itself

Abstract

The binding of ligands to G-protein-coupled receptors (GPCRs) in the extracellular region transmits the signal to the intracellular region to initiate coupling to effector proteins. The mechanism of this allosteric communication remains largely unexplored. Knowledge of the residues involved in the pipeline of the allosteric communication from the extracellular to the intracellular region will provide means to (a) design ligands with bias in potency towards one signaling pathway over others, and (b) design allosteric modulators that show subtype selectivity in GPCRs. In this review we describe the current state of the computational methods that provide insights into the allosteric communication in GPCRs and elucidate how this information can be used to design allosteric modulators.

Indexed as

Computer SimulationDrug DesignAllosteric RegulationAllosteric SiteHumansLigandsReceptors, G-Protein-CoupledSignal TransductionLigandsReceptors, G-Protein-Coupled

Identifiers

PMID27497048
PMCPMC5127785
OpenAlexW2495252094

What OpenQuestion holds

Textmetadata
LicenceTDM
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.