Evidence map›Paper›PMID 31611383›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Quantitative structural assessment of graded receptor agonism.

Jinsai Shang, Richard Brust, Patrick R Griffin, Theodore M Kamenecka, Douglas J Kojetin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. GαMetabolites · 2026
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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

5 authors.

Jinsai ShangDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, Jupiter, FL 33458.ORCID 0000-0001-8164-1544
Richard BrustDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, Jupiter, FL 33458.
Patrick R GriffinDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, Jupiter, FL 33458.ORCID 0000-0002-3404-690X
Theodore M KameneckaDepartment of Molecular Medicine, The Scripps Research Institute, Jupiter, FL 33458.ORCID 0000-0002-3077-0167
Douglas J KojetinDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, Jupiter, FL 33458; dkojetin@scripps.edu.

Funding

Structure and Function of Alternate-Site Binding of Anti-Diabetic PPARG LigandsR01DK101871 · NIDDK · SCRIPPS FLORIDA · PI KOJETIN, DOUGLAS · 2014 to 2018
$2.1M
Structural Analysis of Corepressor Binding to PPARγF32DK108442 · NIDDK · SCRIPPS FLORIDA · PI BRUST, RICHARD JAMES · 2016 to 2018
$178k
NIDDK NIH HHS F32 DK108442NIDDK NIH HHS R01 DK101871
6 · The paper itself

Abstract

Ligand-receptor interactions, which are ubiquitous in physiology, are described by theoretical models of receptor pharmacology. Structural evidence for graded efficacy receptor conformations predicted by receptor theory has been limited but is critical to fully validate theoretical models. We applied quantitative structure-function approaches to characterize the effects of structurally similar and structurally diverse agonists on the conformational ensemble of nuclear receptor peroxisome proliferator-activated receptor γ (PPARγ). For all ligands, agonist functional efficacy is correlated to a shift in the conformational ensemble equilibrium from a ground state toward an active state, which is detected by NMR spectroscopy but not observed in crystal structures. For the structurally similar ligands, ligand potency and affinity are also correlated to efficacy and conformation, indicating ligand residence times among related analogs may influence receptor conformation and function. Our results derived from quantitative graded activity-conformation correlations provide experimental evidence and a platform with which to extend and test theoretical models of receptor pharmacology to more accurately describe and predict ligand-dependent receptor activity.

Indexed as

Binding SitesHEK293 CellsHumansPPAR gammaProtein BindingQuantitative Structure-Activity RelationshipThiazolidinediones2,4-thiazolidinedionePPAR gammaThiazolidinedionesligand bindingNMR spectroscopynuclear receptorreceptor theoryX-ray crystallography

Identifiers

PMID31611383
PMCPMC6825269

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.