Evidence map›Paper›PMID 30410121›Full record

ReviewNature reviews. Drug discovery2019

GPCR drug discovery: integrating solution NMR data with crystal and cryo-EM structures.

Ichio Shimada, Takumi Ueda, Yutaka Kofuku, Matthew T Eddy, Kurt Wüthrich

Abstract readReview
In one paragraph

Review in Nature reviews. Drug discovery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 144 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
144citing papers in PubMed, 1 pooled it
10.8field-weighted citation impact, top 1% 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

144 citing papers in PubMed, 1 synthesis or guideline pooled it, 271 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Targeting CDK9 with Molegro Virtual Docker.Methods in molecular biology (Clifton, N.J.) · 2026
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  11. AlphaFold for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
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  12. Molegro Data Modeller for Machine Learning.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Hands-On Docking with Molegro Virtual Docker.Methods in molecular biology (Clifton, N.J.) · 2026
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  14. Molegro Virtual Docker for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  15. Molegro Data Modeller to Estimate CDK6 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  16. Structure-Bias Relationship of μ-Opioid Receptor Agonists.Handbook of experimental pharmacology · 2026
    Review
  17. Machine Learning to Predict CDK4 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  18. CDK7 as a Target for Docking Screens.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  19. Neural Networks to Calculate CDK2 Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  20. Tree-Based Methods to Predict Enzyme Inhibition.Methods in molecular biology (Clifton, N.J.) · 2026
    Article

84 more citing papers are in PubMed but not listed here.

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.

Ichio ShimadaGraduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan.
Takumi UedaGraduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan.
Yutaka KofukuGraduate School of Pharmaceutical Sciences, The University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan.
Matthew T EddyDepartment of Integrative Structural and Computational Biology, Skaggs Institute of Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.
Kurt WüthrichDepartment of Integrative Structural and Computational Biology, Skaggs Institute of Chemical Biology, The Scripps Research Institute, La Jolla, CA, USA.
The University of Tokyo · JPScripps Research Institute · US

Funding

Dynamics of the Opioid Receptor Signaling ComplexR01GM115825 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI WUTHRICH, KURT · 2015 to 2018
$1.7M
NIGMS NIH HHS R01 GM115825
6 · The paper itself

Abstract

The 826 G protein-coupled receptors (GPCRs) in the human proteome regulate key physiological processes and thus have long been attractive drug targets. With the crystal structures of more than 50 different human GPCRs determined over the past decade, an initial platform for structure-based rational design has been established for drugs that target GPCRs, which is currently being augmented with cryo-electron microscopy (cryo-EM) structures of higher-order GPCR complexes. Nuclear magnetic resonance (NMR) spectroscopy in solution is one of the key approaches for expanding this platform with dynamic features, which can be accessed at physiological temperature and with minimal modification of the wild-type GPCR covalent structures. Here, we review strategies for the use of advanced biochemistry and NMR techniques with GPCRs, survey projects in which crystal or cryo-EM structures have been complemented with NMR investigations and discuss the impact of this integrative approach on GPCR biology and drug discovery.

Indexed as

Drug DiscoveryCryoelectron MicroscopyHumansMagnetic Resonance SpectroscopyModels, MolecularReceptors, G-Protein-CoupledReceptors, G-Protein-Coupled

Identifiers

PMID30410121
PMCPMC6681916
OpenAlexW2899596245

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.