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Dataset Information

Optimizing Odorants for Olfactory Training Based on Olfactory Receptor-Ligand Pair Analysis.


ABSTRACT:

Objective

To optimize olfactory training (OT) by identifying a scientifically grounded combination of odorants that maximally stimulate human olfactory receptors (ORs) through the utilization of a comprehensive receptor-ligand interaction dataset.

Methods

We analyzed 75,050 OR-odor pair experiments from the M2OR database, focusing on 385 unique human ORs and 510 unique odorants. Utilizing human olfactory epithelium transcriptomic data, we identified highly abundant ORs and evaluated their interactions with various odorants to determine the optimal odorant combination for maximizing OR stimulation. The effectiveness of the classical OT odorants (rose, lemon, eucalyptus, and clove) in maximal OR stimulation was also evaluated and compared to the optimal odor combination.

Re

SUBMITTER: Nishijima H 

PROVIDER: S-EPMC12770814 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature