WS01 Latest Trends and Future Development of Toxicity Prediction Methods Using Computational Science

               Organiser:Data Science Center Nara Institute of Science and Technology 
               Supporter:Special Interest Group on Computational ADMET

                  October 23, 2023 (Mon.) 13:00-17:00, Tower Hall Funabori 2F Fukuju
                  Free of charge, registration required (capacity of 140 people)                    

  Predicting various toxicities caused by chemicals using computational scientific methods without relying on animal experiments is an international trend from the viewpoint of animal welfare and the recent remarkable advances in AI technology. On the other hand, in the field of drug discovery, from the perspective of accelerating the development of new pharmaceuticals, international organizations, national regulatory authorities, and research institutes, including those in the industry, are making efforts. This workshop is being held as part of the Ministry of Economy, Trade and Industry's FY2023 chemicals control measures (survey on issues, etc. for promoting the use of toxicity expression prediction systems), and it will be an opportunity to share the latest information on the current state of "in silico prediction" methods for "toxicity" that are already available in Japan and overseas, including demonstrations at the venue, and to know the direction. In addition, the Nara Institute of Science and Technology developed 28-day repeated dose toxicity prediction system (AI-SHIPS) in the Ministry of Economy, Trade and Industry's evaluation technology development project for energy-saving electronic device materials (Development of high-speed, high-efficiency safety evaluation technology to support social implementation of functional materials, 2017-2022), but at this workshop, we expect to share information and actively exchange opinions on prediction methods for toxicity in general, including environmental toxicity.

Dr.Kimito Funatsu,
 Specially-Appointed Professor
  (Professor Emeritus at The University of Tokyo) Director of Research, 
 Data Science Center Nara Institute of Science and Technology   
Fumiaki Shono, Ph.D.
 Commissioned Instructor,
 Data Science Center Nara Institute of Science and Technology
Yoshihiro Uesawa, Professor, Ph.D.
 Meiji Pharmaceutical University