Prediction of mouse olfactory receptor response to single compounds and mixture

カテゴリ: 研究会(論文単位)

論文No: CHS21014

グループ名: 【E】センサ・マイクロマシン部門 ケミカルセンサ研究会

発行日: 2021/07/23

タイトル(英語): Prediction of mouse olfactory receptor response to single compounds and mixture

著者名: Wang Yuzhi(東京工業大学),中本 高道(東京工業大学),松波 宏明(Duke University)

著者名(英語): Yuzhi Wang(Tokyo Institute of Technology),Takamichi Nakamoto(Tokyo Institute of Technology),Hiroaki Matsunami(Duke University)

キーワード: olfactory receptor|response prediction|mass spectrum|deep neural network|auto encoder|regression model

要約(日本語): Due to the complex relationship between odor compounds and sense of smell, there are still large gaps in the field of olfactory research. As differential activation of olfactory receptors (ORs) expressed in the olfactory neurons is crucial for odor discrimination, we thought to use olfactory receptor responses to study odor reproduction. Here we provide a method to predict the OR responses. We used the artificial neural network to predict the mouse OR response of single compounds through the mass spectrum of odor compounds. Then, we confirmed that this method can also predict the OR response of mixture.

要約(英語): Due to the complex relationship between odor compounds and sense of smell, there are still large gaps in the field of olfactory research. As differential activation of olfactory receptors (ORs) expressed in the olfactory neurons is crucial for odor discrimination, we thought to use olfactory receptor responses to study odor reproduction. Here we provide a method to predict the OR responses. We used the artificial neural network to predict the mouse OR response of single compounds through the mass spectrum of odor compounds. Then, we confirmed that this method can also predict the OR response of mixture.

本誌: 2021年7月26日－2021年7月27日ケミカルセンサ研究会

本誌掲載ページ: 1-5 p

原稿種別: 英語

PDFファイルサイズ: 1,338 Kバイト