National Institutes of Biomedical Innovation, Health and Nutrition
Institute for Protein Research
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"Deep Learning Prediction of Adverse Drug Reactions in Drug Discovery Using Open TG–GATEs and FAERS Databases" has been published.
2021-10-27- "Deep Learning Prediction of Adverse Drug Reactions in Drug Discovery Using Open TG–GATEs and FAERS Databases"
For the details, please refer to:
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Project Leader, Kenji Mizuguchi will give a speech at 2021 CSPS/PSJ/CC-CRS SYMPOSIUM.
2021-06-03- Data integration and AI-driven drug discovery
Please refer to the following page for further details.
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Project Leader, Kenji Mizuguchi will give an invited lecture at The 4th Symposium of the Inter-University Research Network for Trans-Omics Medicine.
2019-11-14 13:00 ~ 2019-11-15 16:00- Artificial intelligence-based drug discovery: challenges and applications to target identification and pharmacokinetic modelling
More information is available at the following links.
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Dr. Reiko Watanabe won the Excellent poster award@CBI2019
2019-10-24Poster Title： ”Development of a pharmacokinetics prediction system using multiscale integrated modeling:15. Development of an in silico prediction system of human renal excretion and clearance from chemical structure information”
Author: Reiko Watanabe, Rikiya Ohashi, Tsuyoshi Esaki, Hitoshi Kawashima,
Yayoi Natsume-Kitatani, Chioko Nagao, Kenji MizuguchiPlease see more details here
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