Evidence map›Paper›PMID 28510073›Full record

ReviewBiophysical reviews2012

Modeling of mammalian olfactory receptors and docking of odorants.

Guillaume Launay, Guenhaël Sanz, Edith Pajot-Augy, Jean-François Gibrat

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Microbial volatile organic compounds and olfactory receptors in wound malodor.Frontiers in cellular and infection microbiology · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. G protein-coupled odorant receptors: From sequence to structure.Protein science : a publication of the Protein Society · 2015
    Article
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.

Guillaume LaunayEquipe interactions hôte-pathogène, Bases Moléculaires et Structurales des Systèmes Infectieux, UMR5086 CNRS/Université de Lyon1, 7 Passage du Vercors, Lyon cedex 07, France.
Guenhaël SanzNeurobiologie de l'Olfaction et Modélisation en Imagerie UR1197, INRA, 78350, Jouy-en-Josas, France.
Edith Pajot-AugyNeurobiologie de l'Olfaction et Modélisation en Imagerie UR1197, INRA, 78350, Jouy-en-Josas, France.
Jean-François GibratMathématique Informatique et Génome UR1077, INRA, 78350, Jouy-en-Josas, France. jean-francois.gibrat@jouy.inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Olfactory receptors (ORs) belong to the superfamily of G protein-coupled receptors (GPCRs), the second largest class of genes after those related to immunity, and account for about 3 % of mammalian genomes. ORs are present in all multicellular organisms and represent more than half the GPCRs in mammalian species (e.g., the mouse OR repertoire contains >1,000 functional genes). ORs are mainly expressed in the olfactory epithelium where they detect odorant molecules, but they are also expressed in a number of other cells, such as sperm cells, although their functions in these cells remain mostly unknown. It has recently been reported that ORs are present in tumoral tissues where they are expressed at different levels than in healthy tissues. A specific OR is over-expressed in prostate cancer cells, and activation of this OR has been shown to inhibit the proliferation of these cells. Odorant stimulation of some of these receptors results in inhibition of cell proliferation. Even though their biological role has not yet been elucidated, these receptors might constitute new targets for diagnosis and therapeutics. It is important to understand the activation mechanism of these receptors at the molecular level, in particular to be able to predict which ligands are likely to activate a particular receptor ('deorphanization') or to design antagonists for a given receptor. In this review, we describe the in silico methodologies used to model the three-dimensional (3D) structure of ORs (in the more general framework of GPCR modeling) and to dock ligands into these 3D structures.

Indexed as

3D structure modelingG protein-coupled receptorsHomology modelingLigand dockingVirtual screening

Identifiers

PMID28510073
PMCPMC5418400

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.