Members

BioProduction Engineering Lab Members (Sci., Technol. and Innov.) Naoki Watanabe

Assistant ProfessorNaoki Watanabe

Education and Experience

Apr, 2013 – Mar, 2017
Bsc Department of Chemical Science and Engineering, Faculty of engineering, Kobe University, Japan
Apr, 2017 – Mar, 2019
Msc Department of Chemical Science and Engineering, Graduate School of Science and Technology, Kobe University, Japan
Apr, 2019 – Mar, 2023
PhD Department of Chemical Science and Engineering, Graduate School of Science and Technology, Kobe University, Japan
Apr, 2023 – Mar, 2025
Postdoctoral fellow, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
May, 2025 – Present
Project Assistant Professor, Graduate school of Science, Technology and Innovation, Kobe University, Japan

Awards

    　
  • 2021/10　最優秀ポスター賞「酵素反応予測のための機械学習モデルの開発」（第1回神戸大学先端バイオ工学研究センター成果発表会）

Publications

  1. Yoshizaki, M., Kuriya, Y., Yamamoto, M., Watanabe, N., Araki, M. (2024/06) Development of method using language processing techniques for extracting information on drug–health food product interactions, British Journal of Clinical Pharmacology, 90(6), 1514-1524
  2. Watanabe, N., Yamamoto, M., Murata, M., Kuriya, Y., Araki, M.　(2023/11) EnzymeNet: residual neural networks model for Enzyme Commission number prediction, Bioinformatics Advances, 3(1), 173
  3. Watanabe, N., Kuriya, Y., Murata, M., Yamamoto, M., Shimizu, M., Araki, M.　(2023/05) Different Recognition of Protein Features Depending on Deep Learning Models: A Case Study of Aromatic Decarboxylase UbiD, Biology, 12(6), 795
  4. Kuriya, Y., Murata, M., Yamamoto, M., Watanabe, N., Araki, M. (2023/05) Prediction of Metabolic Flux Distribution by Flux Sampling: As a Case Study, Acetate Production from Glucose in Escherichia coli, Bioengineering, 10(6), 636
  5. Watanabe, N., Yamamoto, M., Murata, M., Vavricka, C. J., Ogino, C., Kondo, A., Araki, M. (2022/09) Comprehensive Machine Learning Prediction of Extensive Enzymatic Reactions, The Journal of Physical Chemistry B, 126(36), 6762-6770
  6. Vavricka, C. J., Takahashi, S., Watanabe, N., Takenaka, M., Matsuda, M., Yoshida, T., Suzuki, R.,他8名. (2022/03) Machine learning discovery of missing links that mediate alternative branches to plant alkaloids, Nature Communications, 13, 1405
  7. Watanabe, N., Murata, M., Ogawa, T., Vavricka, C. J., Kondo, A., Ogino, C., Araki, M. (2020/03) Exploration and Evaluation of Machine Learning-Based Models for Predicting Enzymatic Reactions, Journal of Chemical Information and Modeling, 60(3), 1833-1848

Books

    　
  1. 渡邉直暉，荒木通啓，微生物を用いた有用物質生産技術の開発「計算科学を用いた酵素の探索・改良技術」, 技術情報協会(2024/06)
    2. 　
  2. 渡邉直暉，荒木通啓，微生物を活用した有用物質の製造技術「スマートセルの効率的創製に向けた情報解析技術とAI活用」, シーエムシー出版(2023/05)