Evidence map›Paper›PMID 19857969›Full record

ArticleBioorganic & medicinal chemistry2009

Structural basis of the selectivity of the beta(2)-adrenergic receptor for fluorinated catecholamines.

Chaya Pooput, Erica Rosemond, Joel Karpiak, Francesca Deflorian, Santiago Vilar, Stefano Costanzi, Jürgen Wess, Kenneth L Kirk

Abstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. GPCR agonist binding revealed by modeling and crystallography.Trends in pharmacological sciences · 2011
    Article
  6. 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

8 authors.

Chaya PooputLaboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, DHHS, Bethesda, MD 20892, USA.
Erica Rosemond
Joel Karpiak
Francesca Deflorian
Santiago Vilar
Stefano Costanzi
Jürgen Wess
Kenneth L Kirk

Funding

Molecular modeling of G protein-coupled receptorsZIADK013025 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SHERMAN, ARTHUR · 2009 to 2012
$1.2M
Biochemistry an Pharmacology of Fluorinated Biogenic AminesZ01DK031125 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KIRK, KENNETH · 2007 to 2008
$806k
Intramural NIH HHS Z01 DK031125
6 · The paper itself

Abstract

The important and diverse biological functions of adrenergic receptors, a subclass of G protein-coupled receptors (GPCRs), have made the search for compounds that selectively stimulate or inhibit the activity of different adrenergic receptor subtypes an important area of medicinal chemistry. We previously synthesized 2-, 5-, and 6-fluoronorepinehprine (FNE) and 2-, 5-, and 6-fluoroepinephrine (FEPI) and found that 2FNE and 2FEPI were selective beta-adrenergic agonists and that 6FNE and 6FEPI were selective alpha-adrenergic agonists, while 5FNE and 5FEPI were unselective. Agonist potencies correlated well with receptor binding affinities. Here, through a combination of molecular modeling and site-directed mutagenesis, we have identified N293 in the beta(2)-adrenergic receptor as a crucial residue for the selectivity of the receptor for catecholamines fluorinated at different positions.

Indexed as

Binding, CompetitiveEpinephrineHumansKineticsModels, MolecularMutagenesis, Site-DirectedNorepinephrinePoint MutationReceptors, Adrenergic, beta-2Structure-Activity RelationshipSubstrate SpecificityEpinephrineNorepinephrineReceptors, Adrenergic, beta-2

Identifiers

PMID19857969
PMCPMC2783905

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Registered trials

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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.