Evidence map›Paper›PMID 31036298›Full record

ReviewAdvances in protein chemistry and structural biology2019

Recent advances in computational studies of GPCR-G protein interactions.

Jinan Wang, Yinglong Miao

Abstract readReview
In one paragraph

Review in Advances in protein chemistry and structural biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Dissociation kinetics of G proteins from G protein-coupled receptors and effects of allosteric modulation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. AR71, Histamine HInternational journal of molecular sciences · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Elucidation of a dynamic interplay between a beta-2 adrenergic receptor, its agonist, and stimulatory G protein.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Review
  9. Decoding Partner Specificity of Opioid Receptor Family.Frontiers in molecular biosciences · 2021
    Article
  10. 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.

Jinan WangCenter for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, KS, United States.
Yinglong MiaoCenter for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, KS, United States. Electronic address: miao@ku.edu.

Funding

American Heart Association-American Stroke Association 17SDG33370094
6 · The paper itself

Abstract

Protein-protein interactions are key in cellular signaling. G protein-coupled receptors (GPCRs), the largest superfamily of human membrane proteins, are able to transduce extracellular signals (e.g., hormones and neurotransmitters) to intracellular proteins, in particular the G proteins. Since GPCRs serve as primary targets of ~1/3 of currently marketed drugs, it is important to understand mechanisms of GPCR signaling in order to design selective and potent drug molecules. This chapter focuses on recent advances in computational studies of the GPCR-G protein interactions using bioinformatics, protein-protein docking and molecular dynamics simulation approaches.

Indexed as

Protein Interaction MapsAnimalsComputational BiologyGTP-Binding ProteinsHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingReceptors, G-Protein-CoupledSignal TransductionGTP-Binding ProteinsReceptors, G-Protein-CoupledBioinformaticsGPCR-G protein interactionsMolecular dynamicsProtein-protein dockingProtein-protein interactions

Identifiers

PMID31036298
PMCPMC6986689

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.