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Predicting Odor Perceptual Similarity from Odor Structure

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  • Kobi Snitz
  • Adi Yablonka
  • Tali Weiss
  • Idan Frumin
  • Rehan M Khan
  • Noam Sobel

Abstract

To understand the brain mechanisms of olfaction we must understand the rules that govern the link between odorant structure and odorant perception. Natural odors are in fact mixtures made of many molecules, and there is currently no method to look at the molecular structure of such odorant-mixtures and predict their smell. In three separate experiments, we asked 139 subjects to rate the pairwise perceptual similarity of 64 odorant-mixtures ranging in size from 4 to 43 mono-molecular components. We then tested alternative models to link odorant-mixture structure to odorant-mixture perceptual similarity. Whereas a model that considered each mono-molecular component of a mixture separately provided a poor prediction of mixture similarity, a model that represented the mixture as a single structural vector provided consistent correlations between predicted and actual perceptual similarity (r≥0.49, p

Suggested Citation

  • Kobi Snitz & Adi Yablonka & Tali Weiss & Idan Frumin & Rehan M Khan & Noam Sobel, 2013. "Predicting Odor Perceptual Similarity from Odor Structure," PLOS Computational Biology, Public Library of Science, vol. 9(9), pages 1-12, September.
  • Handle: RePEc:plo:pcbi00:1003184
    DOI: 10.1371/journal.pcbi.1003184
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    References listed on IDEAS

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    1. Andreas Keller & Hanyi Zhuang & Qiuyi Chi & Leslie B. Vosshall & Hiroaki Matsunami, 2007. "Genetic variation in a human odorant receptor alters odour perception," Nature, Nature, vol. 449(7161), pages 468-472, September.
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    Cited by:

    1. Carmen C Licon & Guillaume Bosc & Mohammed Sabri & Marylou Mantel & Arnaud Fournel & Caroline Bushdid & Jerome Golebiowski & Celine Robardet & Marc Plantevit & Mehdi Kaytoue & Moustafa Bensafi, 2019. "Chemical features mining provides new descriptive structure-odor relationships," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-21, April.
    2. Jisub Bae & Ju-Yeon Yi & Cheil Moon, 2019. "Odor quality profile is partially influenced by verbal cues," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-17, December.

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