ArticleProceedings of the National Academy of Sciences of the United States of America2019
Competitive binding predicts nonlinear responses of olfactory receptors to complex mixtures.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Elements of olfactory intelligence in Drosophila.Biological cybernetics · 2026Article
- Odors Smell Like Their Components: A Linear Framework for Predicting Olfactory Mixture Perception.bioRxiv : the preprint server for biology · 2026Article
- Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Sparse input representations explain odor discrimination in complex, concentration-varying mixtures.bioRxiv : the preprint server for biology · 2026Article
- Stable olfactory receptor activation across odor complexity.iScience · 2025Article
- Manifold learning for olfactory habituation to strongly fluctuating backgrounds.bioRxiv : the preprint server for biology · 2025Article
- Recalibrating Olfactory Neuroscience to the Range of Naturally Occurring Odor Concentrations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Functional Characterization of a Female-Biased Chemoreceptor of the Codling Moth (Cydia pomonella) Responding to Aldehydes and Other Volatile Compounds.Journal of chemical ecology · 2025Article
- The primacy model and the structure of olfactory space.PLoS computational biology · 2024Article
- Common principles for odour coding across vertebrates and invertebrates.Nature reviews. Neuroscience · 2024Review
- Preliminary Investigation of Fruit Mash Inoculation with Pure Yeast Cultures: A Case of Volatile Profile of Industrial-Scale Plum Distillates.Foods (Basel, Switzerland) · 2024Article
- Modeling and characterization of pure and odorant mixture processing in theFrontiers in physiology · 2024Article
- Human Olfactory Receptor Sensor for Odor Reconstitution.Sensors (Basel, Switzerland) · 2023Review
- Antagonistic interactions between odorants alter human odor perception.Current biology : CB · 2023Article
- Structural spine plasticity: Learning and forgetting of odor-specific subnetworks in the olfactory bulb.PLoS computational biology · 2022Article
- Interactions among key residues regulate mammalian odorant receptor trafficking.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022Article
- The perception of odor pleasantness is shared across cultures.Current biology : CB · 2022Article
- Biological constraints on configural odour mixture perception.The Journal of experimental biology · 2022Article
- Article
- Olfactory Sensing and Navigation in Turbulent Environments.Annual review of condensed matter physics · 2022Article
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4 authors.
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Abstract
In color vision, the quantitative rules for mixing lights to make a target color are well understood. By contrast, the rules for mixing odorants to make a target odor remain elusive. A solution to this problem in vision relied on characterizing receptor responses to different wavelengths of light and subsequently relating these responses to perception. In olfaction, experimentally measuring receptor responses to a representative set of complex mixtures is intractable due to the vast number of possibilities. To meet this challenge, we develop a biophysical model that predicts mammalian receptor responses to complex mixtures using responses to single odorants. The dominant nonlinearity in our model is competitive binding (CB): Only one odorant molecule can attach to a receptor binding site at a time. This simple framework predicts receptor responses to mixtures of up to 12 monomolecular odorants to within 15% of experimental observations and provides a powerful method for leveraging limited experimental data. Simple extensions of our model describe phenomena such as synergy, overshadowing, and inhibition. We demonstrate that the presence of such interactions can be identified via systematic deviations from the competitive-binding model.
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