EVENTS
Events
Event Date: June 11, 2025, 12:10 PM – 12:50 PM
Brown Bag Seminar
Q-AOS Brown Bag Seminar Series The 190th Seminar “Machine Learning for Predicting Odor Characteristics from Molecular Structures”
九州大学アジア・オセアニア研究教育機構（Q-AOS）では「Brown Bag Seminar Series」を毎週水曜日のランチタイムに開催いたします。本学のアジア・オセアニア地域やSDGsに関連する最新の研究活動を多くの方に知っていただき、異分野研究ネットワークや交流やきっかけの場を提供できればと思います。どなたでも気軽に御参加いただける内容となっております。途中参加、途中退室もOKです。皆様の御参加をお待ちしております。
Details
- Date
- 2025/6/11 12:10 ~ 2025/6/11 12:50
- Style
- Zoom Webinar
- Language
- Bilingual Japanese-English support (simultaneous interpretation)
- Admission Fee
- Free
- The maximum number for the webinar participants
- 500 people
- Contact
- Person：Kyushu University Q-AOS Administrative Office
TEL：+81-92-802-2603・2605
E-mail：aoevent★jimu.kyushu-u.ac.jp（Please change ★ to @）
Abstract
The relationship between the molecular structure and psycho-biology of odors remains still unclear. Recently, we reported a regression analysis based on odorant chemical space. We discussed the prediction performance (predictability of odor descriptor) depends on "structural diversity" for the groups associated with each odor descriptor. The strong influence is traced between structural diversity and the predictability of odor descriptor. We carried out the analysis by four molecular fingerprints, the essential arguments are qualitatively conserved among them. In this investigation, we encountered difficulties related to the complexity included in the odor descriptor. We believe that this study broadly proceeds odor prediction and paves the way toward digitizing odors.
Program
12:10 – 12:15 Introduction
Toshinori TANAKA Associate Professor (Q-AOS Coodinator)
12:15 – 12:40 "Machine Learning for Predicting Odor Characteristics from Molecular Structures”
Assistant Professor Yuki HARADA
(Research and Education Institute for Semiconductors and Informatics Laboratory for Data Sciences of Kumamoto University)
12:40 – 12:50 Q&A
※The recorded video will be available on our website at a later date for a limited time.
Please check the archive of BBS from here.
Toshinori TANAKA Associate Professor (Q-AOS Coodinator)
12:15 – 12:40 "Machine Learning for Predicting Odor Characteristics from Molecular Structures”
Assistant Professor Yuki HARADA
(Research and Education Institute for Semiconductors and Informatics Laboratory for Data Sciences of Kumamoto University)
12:40 – 12:50 Q&A
※The recorded video will be available on our website at a later date for a limited time.
Please check the archive of BBS from here.
Material
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