Session Details
[S48★☆]Implementation of in silico methodologies in risk assessment, especially for food related chemicals
Sat. Mar 28, 2026 3:30 PM - 5:30 PM JST
Sat. Mar 28, 2026 6:30 AM - 8:30 AM UTC
Sat. Mar 28, 2026 6:30 AM - 8:30 AM UTC
Room 08 (A501, Bldg. 1, Area 2 [5F])
Organizer: Ayako Furuhama (NIHS), Atsushi Ono (Okayama Univ.)
In recent years, the implementation of in silico methodologies in risk assessment has been progressing. For example, the Food Safety Commission of Japan (FSCJ) has been accumulating scientific knowledge, including comparative and validation data based on toxicity test data, to utilize in silico methodologies such as (quantitative) structure-activity relationship (Q)SAR and new approach methodologies (NAMs) in food health risk assessment. In 2021, the FSCJ published the "Guideline for Assessing Mutagenicity Using (Q)SAR in Risk Assessment" which was a standard implementation procedure for utilizing (Q)SAR prediction results in food health risk assessment. Furthermore, a grant from the FSCJ (Research Program for Risk Assessment Study on Food Safety, No JPCAFSC20242401, FY2024-2025) titled "Implementation of Mutagenicity Assessments Based on the OECD (Q)SAR Assessment Framework (QAF) for Risk Assessment" has been exploring the application of the OECD QAF to this guideline.
This symposium will present the results of the Research Program for Risk Assessment Study on Food Safety and introduce efforts to apply in silico methodologies and NAMs to the assessment for regulation of chemical substances in Japan. Additionally, we will provide an overview of the latest trends in international in silico assessment and considerations for its use in regulations.
This symposium will present the results of the Research Program for Risk Assessment Study on Food Safety and introduce efforts to apply in silico methodologies and NAMs to the assessment for regulation of chemical substances in Japan. Additionally, we will provide an overview of the latest trends in international in silico assessment and considerations for its use in regulations.
Introduction
Ayako Furuhama (NIHS)
[S48-1]Application of the OECD (Q)SAR assessment framework (QAF) checklist to (Q)SAR prediction of Ames mutagenicity.
○Atsushi Ono1, Takashi Yamada2, Ayako Furuhama2 (1. Okayama Univ., 2. NIHS)
[S48-2]The issues of “Implementation of mutagenicity assessments based on the OECD QAF for risk assessment”
○Ayako Furuhama1, Akiko Kameyama1, Kei-ichi Sugiyama1, Takashi Yamada1, Atsushi Ono2 (1. NIHS, 2. Okayama Univ.)
[S48-3]Introduction of the weight of evidence approach for biodegradability in CSCL screening and risk assessment and application of OECD QAF
○Michiko Watanabe1, Yuri Zaitsu1, Eri Nakatsuji1, Jun Nakamura1, Yuki Sakuratani1 (1. National Institute of Technology and Evaluation)
[S48-4]Understanding and Reducing Uncertainties in In Silico Toxicology Methods
○Mark T.D. Cronin1 (1. Sch. Pharm. Biomolec. Sci., Liverpool John Moores Univ., UK)
[S48-5]In Silico Toxicity Prediction Methods in Risk Assessment: Current Status and Future Perspectives
○Takashi Yamada1 (1. NIHS)
