Evidence map›Paper›PMID 35377807›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Transport features predict if a molecule is odorous.

Emily J Mayhew, Charles J Arayata, Richard C Gerkin, Brian K Lee, Jonathan M Magill, Lindsey L Snyder, Kelsie A Little, Chung Wen Yu, Joel D Mainland

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sensory-Chemical Co-Dynamics inFoods (Basel, Switzerland) · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Accelerating Ligand Discovery for Insect Odorant Receptors.International journal of biological sciences · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Bitter Odorants and Odorous Bitters: Toxicity and Human TAS2R Targets.Journal of agricultural and food chemistry · 2023
    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

9 authors.

Emily J MayhewDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824.ORCID 0000-0001-7881-2306
Charles J ArayataMonell Chemical Senses Center, Philadelphia, PA 19104.ORCID 0000-0003-4609-6098
Richard C GerkinSchool of Life Sciences, Arizona State University, Tempe, AZ 85287.ORCID 0000-0002-2940-3378
Brian K LeeBrain Team, Google Research, Cambridge, MA 02142.
Jonathan M MagillMonell Chemical Senses Center, Philadelphia, PA 19104.
Lindsey L SnyderMonell Chemical Senses Center, Philadelphia, PA 19104.
Kelsie A LittleMonell Chemical Senses Center, Philadelphia, PA 19104.
Chung Wen YuMonell Chemical Senses Center, Philadelphia, PA 19104.
Joel D MainlandMonell Chemical Senses Center, Philadelphia, PA 19104.ORCID 0000-0002-5056-4598

Funding

The Structure of Olfactory Neural and Perceptual SpacesU19NS112953 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RINBERG, DMITRY · 2019 to 2023
$18.4M
INTERDISCIPLINARY TRAINING IN THE CHEMICAL SENSEST32DC000014 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI PAMELA HELEN DALTON, Joel D Mainland · 1989 to 2026
$6.2M
Predicting Human Olfactory Perception from Molecular StructureR01DC017757 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI MAINLAND, JOEL D · 2020 to 2024
$2.0M
Perceptual effects of genetic variation in human odorant receptorsR01DC013339 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI MAINLAND, JOEL D · 2013 to 2017
$1.9M
CRCNS: Data Sharing: Pyrfume: A library for mammalian olfactory psychophysicsR01DC018455 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI GERKIN, RICHARD C · 2019 to 2021
$435k
Using machine learning to predict odor characteristics from molecular structureF32DC019030 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI MAYHEW, EMILY JO · 2020 to 2021
$70k
HHS | NIH | National Institute of Neurological Disorders and Stroke (NINDS) U19NS112953HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) F32DC019030HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01DC013339HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01DC017757HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) R01DC018455HHS | NIH | National Institute on Deafness and Other Communication Disorders (NIDCD) T32DC000014NIDCD NIH HHS F32 DC019030NIDCD NIH HHS R01 DC013339NIDCD NIH HHS R01 DC017757NIDCD NIH HHS R01 DC018455NIDCD NIH HHS T32 DC000014NINDS NIH HHS U19 NS112953
6 · The paper itself

Abstract

In studies of vision and audition, stimuli can be chosen to span the visible or audible spectrum; in olfaction, the axes and boundaries defining the analogous odorous space are unknown. As a result, the population of olfactory space is likewise unknown, and anecdotal estimates of 10,000 odorants have endured. The journey a molecule must take to reach olfactory receptors (ORs) and produce an odor percept suggests some chemical criteria for odorants: a molecule must 1) be volatile enough to enter the air phase, 2) be nonvolatile and hydrophilic enough to sorb into the mucous layer coating the olfactory epithelium, 3) be hydrophobic enough to enter an OR binding pocket, and 4) activate at least one OR. Here, we develop a simple and interpretable quantitative model that reliably predicts whether a molecule is odorous or odorless based solely on the first three criteria. Applying our model to a database of all possible small organic molecules, we estimate that at least 40 billion possible compounds are odorous, six orders of magnitude larger than current estimates of 10,000. With this model in hand, we can define the boundaries of olfactory space in terms of molecular volatility and hydrophobicity, enabling representative sampling of olfactory stimulus space.

Indexed as

OdorantsSmellVolatile Organic CompoundsAnimalsHumansMachine LearningModels, TheoreticalReceptors, OdorantVolatilizationReceptors, OdorantVolatile Organic Compoundsmachine learningodor spaceolfactionphysical transport

Identifiers

PMID35377807
PMCPMC9169660

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.