While it is generally agreed that the physicochemical characteristics of odorants affect the olfactory percept, no precise rules governing this "chemical structure / odor" relation have yet been determined. One obstacle to this is the large number of dimensions – several thousand – needed to describe the molecules and, above all, a lack of data-processing methods suitable for this level of complexity. Our first objective will therefore make use of the 3 data-bases established as part of the Prevalolf project, correlating the multiple molecular characteristics (olfactory chemical space) to olfactory qualities (fruity, floral, woody, etc.: odor perception space). Methods taken from data mining producing descriptive rules are used to test the hypothesis that certain olfactory qualities, on which there is strong inter-subject agreement, can be predicted from the physicochemical properties of the odorant molecule.
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Finds molecular description
a subset of olfactory qualities with the Fβ Score
This research is partially supported by: