Academic Journal

Predicting the receptive range of olfactory receptors.

التفاصيل البيبلوغرافية
العنوان: Predicting the receptive range of olfactory receptors.
المؤلفون: Rafi Haddad, Liran Carmel, Noam Sobel, David Harel
المصدر: PLoS Computational Biology, Vol 4, Iss 2, p e18 (2008)
بيانات النشر: Public Library of Science (PLoS), 2008.
سنة النشر: 2008
المجموعة: LCC:Biology (General)
مصطلحات موضوعية: Biology (General), QH301-705.5
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1553-734X
1553-7358
Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/18248088/pdf/?tool=EBI; https://doaj.org/toc/1553-734X; https://doaj.org/toc/1553-7358
DOI: 10.1371/journal.pcbi.0040018
URL الوصول: https://doaj.org/article/6a8d0d7223e144578cdea528b9594d70
رقم الانضمام: edsdoj.6a8d0d7223e144578cdea528b9594d70
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1553734X
15537358
DOI:10.1371/journal.pcbi.0040018