Title: Toxicity Prediction Using Adverse Effect Database and Chemical Structure Information
Speaker: Yoshihiro Uesawa (Professor, Laboratory of Medical Molecular Analysis, Meiji Pharmaceutical University)
Abstract: This presentation will introduce research on estimating adverse reactions such as toxicity and side effects of various chemical substances including pharmaceuticals by unraveling chemical structure information. The relationship between chemical structures and toxicity/adverse reactions is investigated based on the adverse reaction database, and toxicity is predicted based on patterns of chemical structures. In order to evaluate toxicity, which is an extremely complex and diverse bioactivity, artificial intelligence technology, which has made remarkable progress in recent years, is used. The predictive model is expected to be useful not only as a filter for selecting candidate compounds to be deployed in the early stages of drug discovery, but also for regulatory and clinical applications.
- Date
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27th June, 2025（Fri,）18:00～20:00
- Venue
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Held online
- Organizer
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Co-organizer (HRAM The Japan Society for Industrial and Applied Mathematics, D-DRIVE National Network)
- Participation Fee
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Free（Advance registration required）
https://www-mmds.sigmath.es.osaka-u.ac.jp/structure/activity/ai_data.php?id=93
- web
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https://www-mmds.sigmath.es.osaka-u.ac.jp/structure/activity/ai_data.php?id=93
- Contact
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Takashi Suzuki
suzuki@sigmath.es.osaka-u.ac.jp