Prediction of olfactory perception based on molecular descriptors
| Project/Area Number |
23650107
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | The University of Tokyo |
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Principal Investigator |
NAMIKI Shigehiro 東京大学, 先端科学技術研究センター, 特任助教 (40567757)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
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| Keywords | ケモインフォマティクス / 嗅覚 / 機械学習 / QSAR / 調香 / 複合臭 / 嗅覚受容体 / 分子情報 / 官能評価 |
|---|
| Research Abstract |
We propose several approaches to quantify olfactory perception. First we revealed the difference in physicochemical properties between general odors and odors used for fragrance. This enables us to predict whether untested odor is suitable as a component of fragrance to some extent. Second, we established a method to predict the response of olfactory receptors by use of physicochemical property of testing odors. Third we investigated the relationship between mixture perception and component variability and found that the mixture being composed of the similar odors show low dependency to concentration change. These data may contribute further understanding of the perception to multicomponent odors.
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Report
(3 results)
Research Products
(9 results)
