Predicting the receptive range of olfactory receptors

Rafi Haddad, Liran Carmel, Noam Sobel, David Harel

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Although the family of genes encoding for olfactory receptors was identified more than 15 years ago, the difficulty of functionally expressing these receptors in an heterologous system has, with only some exceptions, rendered the receptive range of given olfactory receptors largely unknown. Furthermore, even when successfully expressed, the task of probing such a receptor with thousands of odors/ligands remains daunting. Here we provide proof of concept for a solution to this problem. Using computational methods, we tune an electronic nose to the receptive range of an olfactory receptor. We then use this electronic nose to predict the receptors' response to other odorants. Our method can be used to identify the receptive range of olfactory receptors, and can also be applied to other questions involving receptor-ligand interactions in non-olfactory settings.

Original languageEnglish
JournalPLoS Computational Biology
Volume4
Issue number2
DOIs
StatePublished - Feb 2008
Externally publishedYes

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