Evidence map›Paper›PMID 31226833›Full record

ReviewInternational journal of molecular sciences2019

Is It Possible to Predict the Odor of a Molecule on the Basis of its Structure?

Manon Genva, Tierry Kenne Kemene, Magali Deleu, Laurence Lins, Marie-Laure Fauconnier

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  16. Article
  17. A Perspective on Explanations of Molecular Prediction Models.Journal of chemical theory and computation · 2023
    Review
  18. Article
  19. The Luminescence Hypothesis of Olfaction.Sensors (Basel, Switzerland) · 2023
    Article
  20. 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

5 authors at 1 institution in 1 country.

Manon GenvaLaboratory of Chemistry of Natural Molecules, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium. m.genva@uliege.be.ORCID 0000-0002-8187-8821
Tierry Kenne KemeneLaboratory of Chemistry of Natural Molecules, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium. kenne@gmx.com.
Magali DeleuLaboratory of Molecular Biophysics at Interfaces, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium. Magali.Deleu@uliege.be.ORCID 0000-0001-8255-2965
Laurence LinsLaboratory of Molecular Biophysics at Interfaces, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium. L.Lins@uliege.be.ORCID 0000-0001-7772-6748
Marie-Laure FauconnierLaboratory of Chemistry of Natural Molecules, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium. marie-laure.fauconnier@uliege.be.ORCID 0000-0002-2027-3896
University of Liège · BE

Funding

Education, Audiovisual and Culture Executive Agency 600873-EPP-1-2018-1ES-EPPKA2-KA
6 · The paper itself

Abstract

The olfactory sense is the dominant sensory perception for many animals. When Richard Axel and Linda B. Buck received the Nobel Prize in 2004 for discovering the G protein-coupled receptors' role in olfactory cells, they highlighted the importance of olfaction to the scientific community. Several theories have tried to explain how cells are able to distinguish such a wide variety of odorant molecules in a complex context in which enantiomers can result in completely different perceptions and structurally different molecules. Moreover, sex, age, cultural origin, and individual differences contribute to odor perception variations that complicate the picture. In this article, recent advances in olfaction theory are presented, and future trends in human olfaction such as structure-based odor prediction and artificial sniffing are discussed at the frontiers of chemistry, physiology, neurobiology, and machine learning.

Indexed as

OdorantsOlfactory PerceptionSmellAnimalsElectronic NoseHumansMachine LearningReceptors, OdorantReceptors, Odorantflavorodorodorantolfactionolfactory sensesensory perceptionstructure-function relationshipvolatile organic compounds

Identifiers

PMID31226833
PMCPMC6627536
OpenAlexW2953273762

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.