ArticleNucleic acids research2024
Pred-O3, a web server to predict molecules, olfactory receptors and odor relationships.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- Odor-Sight: An Interpretable Graph Neural Network Web Platform for Prediction of Odorant Activity.Journal of chemical information and modeling · 2026Article
- Olfactory-gustatory cross-modal integration: mechanisms of aroma-induced sweetness enhancement, sensory evaluation methodologies, neuroimaging evidence and advances in influencing factors.Journal of advanced research · 2026Review
- The Emerging Role of Olfactory Receptors: From Genomics to Precision Medicine.Molecular diagnosis & therapy · 2026Review
- Machine learning unveils three layers of food complexity.NPJ science of food · 2026Review
- Physiopathology of nasal and ecnomotopic olfactory receptors: focus on molecular pathways and potential pharmacological modulation.Frontiers in pharmacology · 2026Review
- Predictive Models of Odor Contribution and Thresholds for Volatiles in Identification of Novel Crop Aroma Compounds.Metabolites · 2025Article
- Molecular Mechanism Analysis of the Activation of Human Olfactory Receptor OR9Q2 by 4-Methylphenol.Foods (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The sense of smell is a biological process involving volatile molecules that interact with proteins called olfactory receptors to transmit a nervous message that allows the recognition of a perceived odor. However, the relationships between odorant molecules, olfactory receptors and odors (O3) are far from being well understood due to the combinatorial olfactory codes and large family of olfactory receptors. This is the reason why, based on 5802 odorant molecules and their annotations to 863 olfactory receptors (human) and 7029 odors and flavors annotations, a web server called Pred-O3 has been designed to provide insights into olfaction. Predictive models based on Artificial Intelligence have been developed allowing to suggest olfactory receptors and odors associated with a new molecule. In addition, based on the encoding of the odorant molecule's structure, physicochemical features related to odors and/or olfactory receptors are proposed. Finally, based on the structural models of the 98 olfactory receptors a systematic docking protocol can be applied and suggest if a molecule can bind or not to an olfactory receptor. Therefore, Pred-O3 is well suited to aid in the design of new odorant molecules and assist in fragrance research and sensory neuroscience. Pred-O3 is accessible at ' https://odor.rpbs.univ-paris-diderot.fr/'.
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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.