Rchr
J-GLOBAL ID：202001007005762953   Update date: Sep. 19, 2024

IIDA MIDORI

飯田 緑 | IIDA MIDORI
Affiliation and department：
Kyushu Institute of Technology School of Computer Science and Systems Engineering Department of Physics and Information Engineering

About Kyushu Institute of Technology School of Computer Science and Systems Engineering Department of Physics and Information Engineering


Research field  (3)： Biological, health, and medical informatics ,  Marine/Aquatic life sciences ,  Environmental effects of chemicals
Research keywords  (6)： ドラックリポジショニング ,  魚類 ,  ダイオキシン ,  バイオインフォマティクス ,  ネットワーク生物学 ,  環境毒性学
Research theme for competitive and other funds  (16)：
  • 2022 - 2025 Predicting the Toxicity of Chemicals on vertebrates using network biology and machine learning
  • 2021 - 2024 トランスクリプトーム情報と生体分子間相互作用ネットワークを用いた薬剤の組み合わせ効果の予測
  • 2021 - 2022 Assessment of toxic effects of antibiotic (oxytetracycline) on young red seabream (Pagrus major) using a red seabream-specific interactome reconstructed by deep learning
  • 2020 - 2021 アンプリコン解析用ソフトウェア(CLiCKAR: click to analyze pooled amplicon sequence data using R)の大規模計算機システムでの運用
  • 2020 - 2021 マダイ(Pagrus major)肝臓プロテオームにおける抗生物質の影響評価
Show all
Papers (26)：
  • Midori Iida, Yurika Kuniki, Kenta Yagi, Mitsuhiro Goda, Satoko Namba, Jun-ichi Takeshita, Ryusuke Sawada, Michio Iwata, Yoshito Zamami, Keisuke Ishizawa, et al. A network-based trans-omics approach for predicting synergistic drug combinations. Communications Medicine. 2024. 4. 1
  • 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. 2024. 58. 1. 488-497
  • Md Mamunur Rashid, Momoko Hamano, Midori Iida, Michio Iwata, Toshiyuki Ko, Seitaro Nomura, Issei Komuro, Yoshihiro Yamanishi. Network-based identification of diagnosis-specific trans-omic biomarkers via integration of multiple omics data. Biosystems. 2024. 105122-105122
  • Miyuki Suzuki, Midori Iida, Toshinori Hayashi, Ken-Ichi T Suzuki. CRISPR-Cas9-Based Functional Analysis in Amphibians: Xenopus laevis, Xenopus tropicalis, and Pleurodeles waltl. Methods in molecular biology (Clifton, N.J.). 2023. 2637. 341-357
  • Midori Iida, Hoa Thanh Nguyen, Fumiya Takahashi, Su-Min Bak, Kazuki Kanda, Hisato Iwata. Effects of exposure to oxytetracycline on the liver proteome of red seabream (Pagrus major) in a real administration scenario. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology. 2022. 256. 109325-109325
ｍore...
MISC (9)：
  • 飯田緑, 岩田通夫, 山西芳裕. Network medicine for drug discovery. Diabetes Journal. 2022. 49. 2. 31-34
  • 飯田緑, 山西芳裕. Unraveling the relationships between chemical and organisms through network biology. 環境ホルモン学会研究発表会プログラム・要旨集. 2021. 23rd (Web)
  • Nguyen Hoa Thanh, Yamamoto Kimika, Iida Midori, Agusa Tetsuro, Hirano Masashi, Ochiai Mari, Kim Eun-Young, Iwata Hisato. 妊娠中にビスフェノールAに曝露したラットの肝臓トランスクリプトーム分析 それらの産仔のトランスクリプトームとの比較(Hepatic transcriptome profiles of rats exposed to bisphenol A during pregnancy: comparison with those oftheir offspring). 環境ホルモン学会研究発表会要旨集. 2017. 20回. 74-74
  • 伊藤 匠平, 飯田 緑, Nguyen Thanh Hoa, 阿草 哲郎, 平野 将司, 落合 真理, 金 恩英, 岩田 久人. ビスフェノールAの出生前曝露によるニワトリ新生雛の肝臓トランスクリプトームへの影響の雌雄差. 環境ホルモン学会研究発表会要旨集. 2017. 20回. 68-68
  • 高橋秀尚, 柴田美音, 瀧川一学, 渡部昌, 築山忠維, 山本淳一, 山口雄輝, 藤井聡, 飯田緑, RANJAN Amol, et al. メディエーター複合体による転写終結制御機構. 日本生化学会大会(Web). 2017. 90th. ROMBUNNO.4P2T15-06(3P-0635) (WEB ONLY)-0635)]
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Books (2)：
  • 革新的AI創薬: 医療ビッグデータ、人工知能がもたらす創薬研究の未来像
    エヌ・ティー・エス 2022 ISBN:4860437888
  • Ecological networks
    ABC of Bioinformatics 2018
Lectures and oral presentations  (47)：
  • Predicting the Combined Effects of Environmental Pollutants Using a Network-Based Approach
    (International Symposium on Toxicity Assessment (ISTA) 2024)
  • Inferring the Health Outcomes of PFAS Using a Network Biology Approach
    (International Symposium on Toxicity Assessment (ISTA) 2024)
  • Network-based Approach to Exploring Mechanisms of Action for PFAS
    (International Symposium on Toxicity Assessment (ISTA) 2024)
  • Predicting the Combined Effects of Environmental Contaminants Adsorbed on Beached Plastic Pellets Using Network Science
    (2024)
  • De novo assembly and functional annotation of scales transcriptome of Morelet’s crocodile (Crocodylus moreletti)
    (2024)
ｍore...
Works (2)：
  • click to analyze pooled amplicon sequence data using R (CLiCKAR)
    Midori Iida, Miyuki Suzuki, Yuto Sakane, Hiroyo Nishide, Ikuo Uchiyama, Takashi Yamamoto, Ken-Ichi T Suzuki, Satoshi Fujii 2020 - 現在
  • IIBMP2020 Conference Poster Design
Work history (5)：
  • 2023/04 - 現在 Kyushu Institute of Technology School of Computer Science and Systems Engineering Department of Physics and Information Engineering
  • 2022/04 - 2023/03 Kyushu Institute of Technology Faculty of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics Restart Postdoctoral Fellowships
  • 2018/10 - 2022/03 Kyushu Institute of Technology School of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics
  • 2017/10 - 2018/08 Kyushu Institute of Technology School of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics
  • 2013/04 - 2017/03 Kyushu Institute of Technology School of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics
Awards (2)：
  • 2024/08 - International Symposium on Toxicity Assessment Best Young Scientist Poster Presentation Awards Network-based Approach to Exploring Mechanisms of Action for PFAS
  • 2018/10 - 日本環境毒性学会研究発表会 日本環境毒性学会研究発表会 新人賞
Association Membership(s) (1)：
バイオインフォマティクス学会
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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