Evidence map›Paper›PMID 37468476›Full record

ArticleNature communications2023

GPCRome-wide analysis of G-protein-coupling diversity using a computational biology approach.

Marin Matic, Pasquale Miglionico, Manae Tatsumi, Asuka Inoue, Francesco Raimondi

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. 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
4.2field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  12. Is GCR1 the GPR157 of plants?Plant physiology · 2025
    Article
  13. An atomic look at the interface of GHSR and its partners.Computational and structural biotechnology journal · 2024
    Article
  14. Article
  15. Molecular Determinant Underlying Selective Coupling of Primary G-Protein by Class A GPCRs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  16. Article
  17. The landscape of cancer rewired GPCR signaling axes.bioRxiv : the preprint server for biology · 2023
    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

5 authors at 2 institutions in 2 countries.

Marin Matic *Laboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, 56126, Italy.ORCID 0000-0003-1449-8797
Pasquale Miglionico *Laboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, 56126, Italy.ORCID 0009-0001-9073-3958
Manae Tatsumi *Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, 980-8578, Japan.
Asuka InoueGraduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Miyagi, 980-8578, Japan. iaska@tohoku.ac.jp.ORCID 0000-0003-0805-4049
Francesco RaimondiLaboratorio di Biologia Bio@SNS, Scuola Normale Superiore, Pisa, 56126, Italy. francesco.raimondi@sns.it.ORCID 0000-0002-6891-3178
Scuola Normale Superiore · ITTohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GPCRs are master regulators of cell signaling by transducing extracellular stimuli into the cell via selective coupling to intracellular G-proteins. Here we present a computational analysis of the structural determinants of G-protein-coupling repertoire of experimental and predicted 3D GPCR-G-protein complexes. Interface contact analysis recapitulates structural hallmarks associated with G-protein-coupling specificity, including TM5, TM6 and ICLs. We employ interface contacts as fingerprints to cluster G

Indexed as

GTP-Binding ProteinsSignal TransductionComputational BiologyReceptors, G-Protein-CoupledGTP-Binding ProteinsReceptors, G-Protein-Coupled

Identifiers

PMID37468476
PMCPMC10356834
OpenAlexW4384818342

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.