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Author Spotlight: Exploring Olfactory Influences on Corticospinal Excitability - Insights and Innovations in Neurological Research
Published on: January 19, 2024
Odor threshold prediction by means of the Monte Carlo method
Andrey A Toropov1, Alla P Toropova1, Luigi Cappellini2
1IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Department of Environmental Health Sciences, Laboratory of Environmental Chemistry and Toxicology, Milan, Italy.
Abstract:
A large set of organic compounds (n=906) has been used as a basis to build up a model for the odor threshold (mg/m(3)). The statistical characteristics of the best model are the following: n=523, r(2)=0.647, RMSE=1.18 (training set); n=191, r(2)=0.610, RMSE=1.03, (calibration set); and n=192, r(2)=0.686, RMSE=1.06 (validation set). A mechanistic interpretation of the model is presented as the lists of statistical promoters of the increase and decrease in the odor threshold.

