Evidence map›Paper›PMID 21187235›Full record

ArticleMethods in enzymology2011

Inferring mechanisms from dose-response curves.

Carson C Chow, Karen M Ong, Edward J Dougherty, S Stoney Simons

Abstract read
In one paragraph

Article in Methods in enzymology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Quetiapine competitively inhibits 5-HTThe Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
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  15. Article
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  18. Article
  19. Review
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

4 authors.

Carson C ChowLaboratory of Biological Modeling, NIDDK/CEB, National Institutes of Health, Bethesda, Maryland, USA.
Karen M Ong
Edward J Dougherty
S Stoney Simons

Funding

Modeling gene transcriptionZIADK075069 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHOW, CARSON · 2012 to 2025
$2.9M
Modeling and data analysis of obesity, insulin resistance, and diabetesZIADK013022 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI CHOW, CARSON · 2009 to 2025
$2.8M
Modulation of parameters of glucocorticoid receptor-mediated gene inductionZIADK057800 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SIMONS, S STONEY · 2009 to 2015
$2.6M
Mechanisms for glucocorticoid vs. progesterone receptor-specific gene regulationZIADK047041 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SIMONS, S STONEY · 2009 to 2014
$1.3M
Intramural NIH HHS Z99 DA999999Intramural NIH HHS Z99 DK999999Intramural NIH HHS Z99 OD999999
6 · The paper itself

Abstract

The steady state dose-response curve of ligand-mediated gene induction usually appears to precisely follow a first-order Hill equation (Hill coefficient equal to 1). Additionally, various cofactors/reagents can affect both the potency and the maximum activity of gene induction in a gene-specific manner. Recently, we have developed a general theory for which an unspecified sequence of steps or reactions yields a first-order Hill dose-response curve (FHDC) for plots of the final product versus initial agonist concentration. The theory requires only that individual reactions "dissociate" from the downstream reactions leading to the final product, which implies that intermediate complexes are weakly bound or exist only transiently. We show how the theory can be utilized to make predictions of previously unidentified mechanisms and the site of action of cofactors/reagents. The theory is general and can be applied to any biochemical reaction that has a FHDC.

Indexed as

Dose-Response Relationship, DrugModels, BiologicalAnimalsGene Expression RegulationHumansLigandsLuciferasesLigandsLuciferases

Identifiers

PMID21187235
PMCPMC3177954

What OpenQuestion holds

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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.