High-performance prediction of adverse outcome pathways based on machine learning methods with chemical structures

Yoshihiro Uesawa

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Symposium

[SY-13] Symposium13
In silico technology in the interface research field vitalizing DMPK research at drug

Sat. Oct 15, 2016 9:00 AM - 11:30 AM Room 2 (Medium Hall)

Toshiya Moriwaki (Drug Metabolism & Pharmacokinetics Research Laboratories, Takeda Pharmaceutical Company Limited), Yoshimasa Kobayashi (Medical safety Research Laboratories, R&D Division, Daiichi Sankyo Co., Ltd.), Harutoshi Kato (DMPK Research Laboratories, Mitsubishi Tanabe Pharma Corporation), Fumiyoshi Yamashita (Graduate School of Pharmaceutical Sciences, Kyoto University)

[SY-13-04] High-performance prediction of adverse outcome pathways based on machine learning methods with chemical structures

Yoshihiro Uesawa (Meiji Pharmaceutical University)

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Presentation information

[SY-13] Symposium13In silico technology in the interface research field vitalizing DMPK research at drug

[SY-13-04] High-performance prediction of adverse outcome pathways based on machine learning methods with chemical structures

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[SY-13] Symposium13
In silico technology in the interface research field vitalizing DMPK research at drug