Evidence map›Paper›PMID 31044166›Full record

ArticleCommunications biology2019

Computational modeling of the olfactory receptor Olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds.

Shuguang Yuan, Thamani Dahoun, Marc Brugarolas, Horst Pick, Slawomir Filipek, Horst Vogel

Abstract read
In one paragraph

Article in Communications biology, 2019. 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
–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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Isocampholenic Acid Derivatives as Potential Fragrances.Molecules (Basel, Switzerland) · 2025
    Article
  4. Predictive Machine Learning Models for Olfaction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Modeling of Olfactory Receptors.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Trends in application of advancing computational approaches in GPCR ligand discovery.Experimental biology and medicine (Maywood, N.J.) · 2021
    Review
  18. 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

6 authors.

Shuguang Yuan1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China.ORCID 0000-0001-9858-4742
Thamani Dahoun2Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Marc Brugarolas2Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Horst Pick2Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Slawomir Filipek3Laboratory of Biomodelling, Faculty of Chemistry & Biological and Chemical Research Centre, Uni-versity of Warsaw, 02-093 Warsaw, Poland.
Horst Vogel2Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammalian olfactory system uses hundreds of specialized G-protein-coupled olfactory receptors (ORs) to discriminate a nearly unlimited number of odorants. Cognate agonists of most ORs have not yet been identified and potential non-olfactory processes mediated by ORs are unknown. Here, we used molecular modeling, fingerprint interaction analysis and molecular dynamics simulations to show that the binding pocket of the prototypical olfactory receptor Olfr73 is smaller, but more flexible, than binding pockets of typical non-olfactory G-protein-coupled receptors. We extended our modeling to virtual screening of a library of 1.6 million compounds against Olfr73. Our screen predicted 25 Olfr73 agonists beyond traditional odorants, of which 17 compounds, some with therapeutic potential, were validated in cell-based assays. Our modeling suggests a molecular basis for reduced interaction contacts between an odorant and its OR and thus the typical low potency of OR-activating compounds. These results provide a proof-of-principle for identifying novel therapeutic OR agonists.

Indexed as

OdorantsAnimalsCombinatorial Chemistry TechniquesDrug Evaluation, PreclinicalMiceMicrofilament ProteinsModels, MolecularMolecular Dynamics SimulationProtein BindingProtein ConformationReceptors, OdorantSmall Molecule LibrariesStructure-Activity RelationshipMicrofilament ProteinsOlfr73 protein, mouseReceptors, OdorantSmall Molecule LibrariesComputational biophysicsDrug screeningProtein function predictionsVirtual drug screening

Identifiers

PMID31044166
PMCPMC6478719

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.