Evidence map›Paper›PMID 15629204›Full record

ReviewTrends in pharmacological sciences2005

Techniques: Recent developments in computer-aided engineering of GPCR ligands using the human adenosine A3 receptor as an example.

Stefano Moro, Giampiero Spalluto, Kenneth A Jacobson

Open access · greenAbstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 65 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Stefano MoroMolecular Modeling Section, Dipartimento di Scienze Farmaceutiche, Università di Padova, Via Marzolo 5, I-35131 Padova, Italy. stefano.moro@unipd.it
Giampiero Spalluto
Kenneth A Jacobson
National Institutes of Health · USUniversity of Padua · ITUniversity of Trieste · IT

Funding

Development Of Drugs Acting At Adenosine ReceptorsZIADK031117 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI JACOBSON, KENNETH ALAN · 2009 to 2025
$10.4M
Drugs that Act at Adenosine ReceptorsZ01DK031117 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI JACOBSON, KENNETH ALAN · 1991 to 2008
$854k
Intramural NIH HHS ZIA DK031117
6 · The paper itself

Abstract

G-protein-coupled receptors (GPCRs) represent the largest known family of signal-transducing molecules, and convey signals for light and many extracellular regulatory molecules. GPCRs are dysfunctional or dysregulated in several human diseases and are estimated to be the targets of >40% of the drugs used in clinical medicine today. The crystal structure of rhodopsin provides the first information on the three-dimensional structure of GPCRs, which now supports homology modeling studies and structure-based drug-design approaches. In this article, we review recent work on adenosine receptors, a family of GPCRs, and, in particular, on adenosine A(3) receptor antagonists. We focus on an iterative, bi-directional approach in which models are used to generate hypotheses that are tested by experimentation; the experimental findings are, in turn, used to refine the model. The success of this approach is due to the synergistic interaction between theory and experimentation.

Indexed as

AnimalsComputer-Aided DesignHumansLigandsMethodsModels, BiologicalReceptor, Adenosine A3Receptors, G-Protein-CoupledSignal TransductionLigandsReceptor, Adenosine A3Receptors, G-Protein-Coupled

Identifiers

PMID15629204
PMCPMC12443479
OpenAlexW2003897393

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.