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Predicting the Receptive Range of Olfactory Receptors
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. Furtherm...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2222922/ https://www.ncbi.nlm.nih.gov/pubmed/18248088 http://dx.doi.org/10.1371/journal.pcbi.0040018 |
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author | Haddad, Rafi Carmel, Liran Sobel, Noam Harel, David |
author_facet | Haddad, Rafi Carmel, Liran Sobel, Noam Harel, David |
author_sort | Haddad, Rafi |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2222922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-22229222008-02-01 Predicting the Receptive Range of Olfactory Receptors Haddad, Rafi Carmel, Liran Sobel, Noam Harel, David PLoS Comput Biol Research Article 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. Public Library of Science 2008-02 2008-02-01 /pmc/articles/PMC2222922/ /pubmed/18248088 http://dx.doi.org/10.1371/journal.pcbi.0040018 Text en © 2008 Haddad et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Haddad, Rafi Carmel, Liran Sobel, Noam Harel, David Predicting the Receptive Range of Olfactory Receptors |
title | Predicting the Receptive Range of Olfactory Receptors |
title_full | Predicting the Receptive Range of Olfactory Receptors |
title_fullStr | Predicting the Receptive Range of Olfactory Receptors |
title_full_unstemmed | Predicting the Receptive Range of Olfactory Receptors |
title_short | Predicting the Receptive Range of Olfactory Receptors |
title_sort | predicting the receptive range of olfactory receptors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2222922/ https://www.ncbi.nlm.nih.gov/pubmed/18248088 http://dx.doi.org/10.1371/journal.pcbi.0040018 |
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