Evidence map›Paper›PMID 27344006›Full record

ReviewCurrent opinion in structural biology2016

G-protein coupled receptors: advances in simulation and drug discovery.

Yinglong Miao, J Andrew McCammon

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
  2. Review
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  9. Fine-tuning activation specificity of G-protein-coupled receptors via automated path searching.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Review
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  15. Deep Learning Dynamic Allostery of G-Protein-Coupled Receptors.bioRxiv : the preprint server for biology · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Review
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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.

Yinglong MiaoHoward Hughes Medical Institute, University of California San Diego, La Jolla, CA 92093, United States; Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, United States. Electronic address: yimiao@ucsd.edu.
J Andrew McCammonHoward Hughes Medical Institute, University of California San Diego, La Jolla, CA 92093, United States; Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, United States; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093, United States. Electronic address: jmccammon@ucsd.edu.
Howard Hughes Medical Institute · USUniversity of California, San Diego · US

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Howard Hughes Medical InstituteNIGMS NIH HHS P41 GM103426NIGMS NIH HHS R01 GM031749
6 · The paper itself

Abstract

G-protein coupled receptors (GPCRs), the largest family of human membrane proteins, mediate cellular signaling and represent primary targets of about one third of currently marketed drugs. GPCRs undergo highly dynamic structural transitions during signal transduction, from binding of extracellular ligands to coupling with intracellular effector proteins. Molecular dynamics (MD) simulations have been utilized to investigate GPCR signaling mechanisms (such as pathways of ligand binding and receptor activation/deactivation) and to design novel small-molecule drug candidates. Future research directions point towards modeling cooperative binding of multiple orthosteric and allosteric ligands to GPCRs, GPCR oligomerization and interactions of GPCRs with different intracellular signaling proteins. Through methodological and supercomputing advances, MD simulations will continue to provide important insights into GPCR signaling mechanisms and further facilitate structure-based drug design.

Indexed as

Molecular Dynamics SimulationComputer-Aided DesignDrug DiscoveryHumansLigandsReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupled

Identifiers

PMID27344006
PMCPMC5154880
OpenAlexW2463173616

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.