Rchr
J-GLOBAL ID：201801002400133779   Update date: Nov. 16, 2024

Maeda Kazuhiro

マエダ カズヒロ | Maeda Kazuhiro
Affiliation and department：
Kyushu Institute of Technology

About Kyushu Institute of Technology


Job title： Associate Professor
Homepage URL  (1)： https://sites.google.com/view/kazuhiro-maeda/main
Research field  (1)： Biological, health, and medical informatics
Research theme for competitive and other funds  (18)：
  • 2024 - 2027 AI 技術を用いた魚類における「代謝されにくさ」を決定づける化学物質の特徴探索
  • 2022 - 2027 Controlling metabolic networks using artificial genetic circuits
  • 2024 - 2026 情報技術と実験ロボットによる有用微生物開発プロセスの自動化
  • 2024 - 2026 自己再生産し進化する人工ゲノム複製・転写・翻訳システムの開発
  • 2023 - 2024 機械学習を用いたヒトPPARαに結合するPFASの特徴の解明
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Papers (32)：
  • Hiroyuki Kurata, Md. Harun-Or-Roshid, Sho Tsukiyama, Kazuhiro Maeda. PredIL13: Stacking a variety of machine and deep learning methods with ESM-2 language model for identifying IL13-inducing peptides. PLOS ONE. 2024. 19. 8. e0309078-e0309078
  • Hiroyuki Kurata, Md Harun-Or-Roshid, Md Mehedi Hasan, Sho Tsukiyama, Kazuhiro Maeda, Balachandran Manavalan. MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models. Methods. 2024
  • Md. Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, Balachandran Manavalan, Hiroyuki Kurata. Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach. Computers in Biology and Medicine. 2024. 169. 107848-107848
  • Kazuhiro Maeda, Masashi Hirano, Taka Hayashi, Midori Iida, Hiroyuki Kurata, Hiroshi Ishibashi. Elucidating Key Characteristics of PFAS Binding to Human Peroxisome Proliferator-Activated Receptor Alpha: An Explainable Machine Learning Approach. Environmental Science & Technology. 2023. 58. 1. 488-497
  • Kazuhiro Maeda, Hiroyuki Kurata. Automatic Generation of SBML Kinetic Models from Natural Language Texts Using GPT. International Journal of Molecular Sciences. 2023. 24. 8. 7296-7296
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MISC (12)：
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Lectures and oral presentations  (7)：
  • 生物システムの理解と設計ための動力学シミュレーション
    (筑波大学 生存ダイナミクス研究センター 第17回理論合成インシリコ生物学セミナー 2024)
  • 人工知能とシミュレーションを使って生物を理解・設計する
    (愛媛大学第54回LaMer特別講演会 2024)
  • 動力学シミュレーションを使って生物システムを理解・設計する
    (第13回 日本細胞性粘菌学会例会 2023)
  • 遺伝子回路設計と塩基配列設計の自動化
    (「細胞を創る」研究会 16.0 2023)
  • 肝臓のzonationを考慮した薬物代謝動態の数理モデル
    (第31回日本医学会総会 2023)
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Works (2)：
  • RCGAToolbox
    2021 - 現在
  • libRCGA
    2018 - 現在
Education (3)：
  • 2008 - 2011 Kyushu Institute of Technology Graduate School of Computer Science and Systems Engineering
  • 2006 - 2008 Kyushu Institute of Technology
  • 2003 - 2006 Kyushu Institute of Technology School of Computer Science and Systems Engineering
Professional career (1)：
  • 博士(情報工学) (九州工業大学)
Work history (8)：
  • 2024/04 - 現在 Kyushu Institute of Technology
  • 2024/01 - 現在 Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics Associate Professor
  • 2020/11 - 2024/03 Japan Science and Technology Agency PREST
  • 2019/12 - 2023/12 Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics Assistant Professor
  • 2015/03 - 2019/11 Kyushu Institute of Technology
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Committee career (2)：
  • 2023/04 - 現在 BIOMOD 運営委員
  • 2019/09 - 現在 Bioinformatics subcommittee, The Society for Biotechnology, Japan Committee
Awards (6)：
  • 2021/07 - 九州工業大学 九州工業大学デジタルコンテンツコンテスト優秀賞
  • 2021/07 - Kyushu Institute of Technology Kyutech Digital Contents Contest, Award of Excellence
  • 2019/09 - IPSJ IPSJ Yamashita SIG Research Award
  • 2018/09 - IPSJ Bio SIGBIO Excellent Presentation Award
  • 2017/09 - IPSJ Bio SIGBIO Excellent Presentation Award
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Association Membership(s) (4)：
INFORMATION PROCESSING SOCIETY OF JAPAN ,  JAPANESE SOCIETY FOR BIOINFORMATICS ,  THE MOLECULAR BIOLOGY SOCIETY OF JAPAN ,  The Society for Biotechnology, Japan
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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