ArticleiScience2020
Predicting Human Olfactory Perception from Activities of Odorant Receptors.
Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Microbial volatile organic compounds and olfactory receptors in wound malodor.Frontiers in cellular and infection microbiology · 2026Pooled it
- Article
- Machine Learning Based Modelling of Human and Insect Olfaction Screens Millions of compounds to Identify Pleasant Smelling Insect Repellents.bioRxiv : the preprint server for biology · 2026Article
- Compounds of Essential Oils from Different Parts ofFoods (Basel, Switzerland) · 2025Article
- A Structure-Based Approach for Predicting Odor Similarity of Molecules via Docking Simulations with Human Olfactory Receptors.ACS omega · 2025Article
- Article
- M2OR: a database of olfactory receptor-odorant pairs for understanding the molecular mechanisms of olfaction.Nucleic acids research · 2024Article
- Article
- Article
- Olfactory-gustatory simultaneity judgments: A preliminary study on the congruency-dependent temporal window of multisensory binding.Brain and behavior · 2023Article
- Application of artificial intelligence to decode the relationships between smell, olfactory receptors and small molecules.Scientific reports · 2022Article
- Article
- Insight into the Structure-Odor Relationship of Molecules: A Computational Study Based on Deep Learning.Foods (Basel, Switzerland) · 2022Article
- Prolonged activation of carbon dioxide-sensitive neurons in mosquitoes.Interface focus · 2021Article
- Behavior Individuality: A Focus onFrontiers in physiology · 2021Review
- Parsing Sage and Rosemary in Time: The Machine Learning Race to Crack Olfactory Perception.Chemical senses · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Odor perception in humans is initiated by activation of odorant receptors (ORs) in the nose. However, the ORs linked to specific olfactory percepts are unknown, unlike in vision or taste where receptors are linked to perception of different colors and tastes. The large family of ORs (~400) and multiple receptors activated by an odorant present serious challenges. Here, we first use machine learning to screen ~0.5 million compounds for new ligands and identify enriched structural motifs for ligands of 34 human ORs. We next demonstrate that the activity of ORs successfully predicts many of the 146 different perceptual qualities of chemicals. Although chemical features have been used to model odor percepts, we show that biologically relevant OR activity is often superior. Interestingly, each odor percept could be predicted with very few ORs, implying they contribute more to each olfactory percept. A similar model is observed in Drosophila where comprehensive OR-neuron data are available.
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Registered trials
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.