ArticleScientific reports2022
Application of artificial intelligence to decode the relationships between smell, olfactory receptors and small molecules.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Microbial volatile organic compounds and olfactory receptors in wound malodor.Frontiers in cellular and infection microbiology · 2026Pooled it
- Low rank adaptation of chemical foundation models generates effective odorant representations.bioRxiv : the preprint server for biology · 2026Article
- The Emerging Role of Olfactory Receptors: From Genomics to Precision Medicine.Molecular diagnosis & therapy · 2026Review
- Compounds of Essential Oils from Different Parts ofFoods (Basel, Switzerland) · 2025Article
- Shapley Fields Reveal Chemotopic Organization in the Mouse Olfactory Bulb Across Diverse Chemical Feature Sets.bioRxiv : the preprint server for biology · 2025Article
- Antagonists Enhance Cell-Surface Expression of Mammalian Odorant Receptors.International journal of molecular sciences · 2025Article
- Predictive Machine Learning Models for Olfaction.Methods in molecular biology (Clifton, N.J.) · 2025Article
- A systematic review of data and models for predicting food flavor and texture.Current research in food science · 2025Review
- Interpretable multitask deep learning models for odor perception based on molecular structure.Current research in food science · 2025Article
- Pred-O3, a web server to predict molecules, olfactory receptors and odor relationships.Nucleic acids research · 2024Article
- Volatile Composition of Fortification Grape Spirit and Port Wine: Where Do We Stand?Foods (Basel, Switzerland) · 2023Review
- Combining the Classification and Pharmacophore Approaches to Understand Homogeneous Olfactory Perceptions at Peripheral Level: Focus on Two Aroma Mixtures.Molecules (Basel, Switzerland) · 2023Article
- Narrative review on artificially intelligent olfaction in halitosis.Journal of oral and maxillofacial pathology : JOMFPReview
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
Deciphering the relationship between molecules, olfactory receptors (ORs) and corresponding odors remains a challenging task. It requires a comprehensive identification of ORs responding to a given odorant. With the recent advances in artificial intelligence and the growing research in decoding the human olfactory perception from chemical features of odorant molecules, the applications of advanced machine learning have been revived. In this study, Convolutional Neural Network (CNN) and Graphical Convolutional Network (GCN) models have been developed on odorant molecules-odors and odorant molecules-olfactory receptors using a large set of 5955 molecules, 160 odors and 106 olfactory receptors. The performance of such models is promising with a Precision/Recall Area Under Curve of 0.66 for the odorant-odor and 0.91 for the odorant-olfactory receptor GCN models respectively. Furthermore, based on the correspondence of odors and ORs associated for a set of 389 compounds, an odor-olfactory receptor pairwise score was computed for each odor-OR combination allowing to suggest a combinatorial relationship between olfactory receptors and odors. Overall, this analysis demonstrate that artificial intelligence may pave the way in the identification of the smell perception and the full repertoire of receptors for a given odorant molecule.
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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.