Reverse chemical ecology in a moth: IA identifies new behaviorally active semiochemicals

Happy to share our new paper combining machine learning and experimentation on moth odorant receptors published in Cell. Mol. Life Sci. (https://doi.org/10.1007/s00018-021-03919-2)

Result of a fruitful collaboration between @iEESParis, @INRAE_DPT_SPE, @NiceChemistry

PhD position in machine learning and analytical chemistry

If you like #perfumes, #analyticalchemistry and #machinelearning, join us! We have an open PhD position in collaboration with an industrial partner.

Details here:

PhD-Position-CIFRE

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Your profile : Master of Science degree or equivalent, strong background in physico-chemistry or computer sciences with skills in analytical chemistry (GC-MS) and machine learning. Knowledge in flavor and fragrances is a plus but not mandatory. Experience with python programming is required.

Send CV, grades, cover letter and 3 references to sylvain.antoniotti@univ-cotedazur.fr and sebastien.fiorucci@univ-cotedazur.fr before 23th July

Functional Molecular Switches of Mammalian G Protein-Coupled Bitter-Taste Receptors

Our new contribution to understand the molecular basis of bitter taste receptor activation mechanism is shared on BioRxiv :

https://www.biorxiv.org/content/10.1101/2020.10.23.348706v2