neuroscienceresearch news

Artifical intelligence reveals the links between the structure of odours and olfactory perception

By 13th June 2019 June 14th, 2019 No Comments

Can we describe an odorous compound in words simply by looking at its chemical structure? This exercise is a challenge for scientists and an utopia for the perfume and fragrance industry.

Researchers at the Centre de recherche en neurosciences de Lyon (CRNL), the Institut de chimie de Nice (ICN) and the Laboratoire d’informatique en images et systèmes d’information (LIRIS) have now combined innovative approaches to data mining with chemical property calculations to establish rules for doing just this. Their work, which is published in Plos Computational Biology, is an important first step towards the rational design of fragrance compounds.

Reference: Chemical features mining provides new descriptive structure-odor relationships. Licon CC, Bosc G, Sabri M, Mantel M, Fournel A, Bushdid C, Golebiowski J, Robardet C, Plantevit M, Kaytoue M, Bensafi M. PLoS Comput Biol. 10.1371/journal.pcbi.1006945

Read the article from LIRIS.