This project is fundamental and highly multidisciplinary. It gathers academic experts in computational modeling, protein engineering, behavioral neuroscience, and a company expert in sensory analysis. Their research hypothesis is that numerical models can crack the code of chemosensory sensations. The project aims at predicting or synthesizing chemicals targeting given smells, tastes, or modulating our mood or emotions. They will use ligand-based and receptor-based numerical models to tentatively decode i/ how our brain uses receptors to perceive its chemical environment, and ii/ how chemical senses are encoded within odorants and tastants chemical properties. These properties can either belong to the perceptive field (smell and taste) but also to the hedonic field (like or dislike), itself wired to our mood or emotions. Here, in silico models will process data coming from different level, ranging from cellular to sensory levels.
Monsieur Jérôme Golebiowski (Université Nice Sophia Antipolis - Institut de Chimie de Nice)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Expressions Parfumées / direction générale
CRNL Centre de Recherche en Neurosciences de Lyon
UNS - ICN Université Nice Sophia Antipolis - Institut de Chimie de Nice
CSGA CENTRE DES SCIENCES DU GOUT ET DE L'ALIMENTATION - UMR 6265 - UMR A1324 - uB 80
Help of the ANR 443,920 euros
Beginning and duration of the scientific project: January 2020 - 48 Months