[日本語版はこちら / Japanese version]

📚Peer-Reviewed Journal Articles

  1. ○Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyama Otani, and Yoshihiro Yamanishi.
    Therapeutic target prediction for orphan diseases integrating genome-wide and transcriptome-wide association studies.
    Nat Commun., 16, 3355.
    https://doi.org/10.1038/s41467-025-58464-4 (2025.4.18)
    [Paper] [PubMed] [Google Scholar]

  2. ○Satoko Namba, Chen Li, Noriko Otani, and Yoshihiro Yamanishi.
    SSL-VQ: Vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases. Bioinformatics, 41(2), btaf039,
    https://doi.org/10.1093/bioinformatics/btaf039 (2025.1.28)
    [Paper] [PubMed] [Google Scholar]

  3. Midori Iida, …, ○Satoko Namba, et al.
    A network-based trans-omics approach for predicting synergistic drug combinations.
    Communications medicine, 4, 154.
    https://doi.org/10.1038/s43856-024-00571-2. (2024/7/29)
    [Paper] [PubMed] [Google Scholar]

  4. Hanako Yoshimura, …, ○Satoko Namba, et al.
    Galectin-10 in serum extracellular vesicles reflects asthma pathophysiology.
    The Journal of allergy and clinical immunology, 153(5), 1268-1281.
    https://doi.org/10.1016/j.jaci.2023.12.030 (4/4/2024)
    [Paper] [PubMed] [Google Scholar]

  5. ○Satoko Namba, Michio Iwata, & Yoshihiro Yamanishi.
    From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signatures.
    Bioinformatics (Oxford, England), 38(Suppl 1), i68–i76.
    https://doi.org/10.1093/bioinformatics/btac240. (6/27/2022)
    [Paper] [PubMed] [Google Scholar]

📕Review Articles / Professional Magazines

  1. Satoko Namba. “Conference & Workshop: The Future of Life Science Unveiled by AI—1st Asia & Pacific Bioinformatics Joint Conference”,
    Experimental Medicine
    (Special Issue: “Synthetic Biology of Multicellular Systems / Getting Started with Bioinformatics via Conda”),
    Vol.43, No.6, pp. 957–960. Yodosha, March 2025.
    ISBN 978-4-7581-2590-1. (in Japanese)
    ▶ View on Yodosha   ▶ View on Amazon
実験医学2025
  1. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi. “Therapeutic Target Prediction Using Genetic Perturbation-Response Omics Data: Cross-Disease Target Repositioning.”
    Experimental Medicine
    (Supplement: “Statistical Genetics in the Post-GWAS Era: A Systems View of Human Disease via Omics and Machine Learning”),
    Vol. 41, No. 7, pp. 181–187, Yodosha, April 2023.
    ISBN 978-4-7581-0410-4. (in Japanese)
    ▶ View on Yodosha   ▶ View on Amazon
実験医学2023

🏆Honors / Awards

  1. Satoko Namba.
    『The 130th Annual Meeting of the Japanese Association of Anatomists (JAA)・The 102nd Annual Meeting of the Physiological Society of Japan (PSJ)・The 98th Annual Meeting of the Japanese Pharmacological Society (JPS)』,
    Young Investigator Award,
    2025.3.18.
    [Award Certificate]

  2. Satoko Namba.
    『Informatics in Biology, Medicine and Pharmacology 2023』,
    Outstanding Poster Award,
    2023.9.7.
    [Award Certificate]

  3. Satoko Namba, et al.
    『14th Annual Meeting of the Young Researchers Association for Bioinformatics and Life Science』,
    Best NGS awards,
    2022.9.11.
    [Award Certificate]

  4. Satoko Namba.
    『The Chem-Bio Informatics Society CBI Annual Meeting 2021』,
    Excellent Presentation Awards,
    2021.10.27.
    [Award Certificate]

  5. Satoko Namba.
    『Informatics in Biology, Medicine and Pharmacology 2021』,
    Outstanding Poster Award,
    2021.9.27.
    [Award Certificate]

💰Grants / Fellowships

  1. Satoko Namba.
    Grant-in-Aid for JSPS Fellows, 25KJ0159 (2025.4~2028.3)
    (Acceptance rate: 23.9%).
  1. ○Satoko Namba ISMB2022 Travel Fellowship, $1,000
    （Acceptance rate: 47/155

    Group photo with Travel Fellowship recipients at ISMB 2022 ➡️

TravelFellowship2022
  1. Satoko Namba,
    Grant-in-Aid for JSPS Fellows, 22KJ2494 (2022.4~2025.3)
    (Acceptance rate: 18.5%).
    [KAKENHI]

🗣️Invited Talks

  1. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Target repositioning: predicting therapeutic targets using genetically perturbed transcriptome.”
    『5th CBI Young Researchers Symposium』, Online, 2022.6.3.

🌐Oral Presentations at International Conferences [Peer-reviewed]

  1. ○Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyama Otani, and Yoshihiro Yamanishi.
    “TRESOR: a disease signature integrating GWAS and TWAS for therapeutic target discovery in rare diseases.”
    『The 33rd International Conference on Intelligent Systems for Molecular Biology (ISMB2025)』,
    Abstract Talk, Liverpool in UK, 2025.7.22 (2025.7.20–24).

  2. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Target repositioning to predict therapeutic target proteins using genetically perturbed transcriptome data”.
    『The 31st International Conference on Intelligent Systems for Molecular Biology (ISMB2023)』,
    Online short talk, 2023.7.19.

  3. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signatures”.
    『The 30th International Conference on Intelligent Systems for Molecular Biology (ISMB2022)』,
    Proceedings, Madison in US, 2022.7.12 (2022.7.10~2022.7.14).
    [📺YouTube]

🌐Poster Presentations at International Conferences [Peer-reviewed]

  1. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “A trans-disease approach for predicting therapeutic target proteins using large-scale omics data”.
    『1st Asia & Pacific Bioinformatics Joint Conference (APBJC2024)』,
    Okinawa in Japan, 2024.10.24 (2024.10.22~2024.10.25).
    [📺YouTube]

  2. Midori Iida, …, ○Satoko Namba, et al.
    “A Computational Method for Predicting Synergistic Drug Combinations Using Network Propagation and Trans-Omics Analysis”.
    『1st Asia & Pacific Bioinformatics Joint Conference (APBJC2024)』,
    Okinawa in Japan, 2024.10.23 (2024.10.22~2024.10.25).

  3. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “A trans-disease approach for omics-based prediction of therapeutic target proteins”.
    『The 32nd International Conference on Intelligent Systems for Molecular Biology (ISMB2024)』,
    Montréal in Canada, 2024.7.15 (2024.7.12~2024.7.16).
    [📺YouTube]

  4. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Target repositioning to predict therapeutic target proteins using genetically perturbed transcriptome data”.
    『The 31st International Conference on Intelligent Systems for Molecular Biology (ISMB2023)』,
    Lyon in France, 2023.7.24 (2023.7.23~2023.7.27).
    [📺YouTube]

🏯Oral Presentations at Domestic Conferences

  1. Satoko Namba, Chen Li, Noriko Otani, and Yoshihiro Yamanishi.
    “Predicting therapeutic target molecules for rare diseases based on deep learning and genetically perturbed transcriptome.”
    『The 145th Annual Meeting of the Pharmaceutical Society of Japan』, Fukuoka, 2025.3.28 (2025.3.26~2025.3.29).

  2. Shuto Yoshimoto, … Satoko Namba, et al.
    “In silico prediction of new therapeutic targets and drugs for schizophrenia.”
    『The 145th Annual Meeting of the Pharmaceutical Society of Japan』,
    Fukuoka, 2025.3.28 (2025.3.26~2025.3.29).

  3. Satoko Namba, Chen Li, Noriko Otani, and Yoshihiro Yamanishi.
    “Prediction of therapeutic target molecules for rare diseases using gene perturbation transcriptome and semi-supervised deep learning.”
    『The 130th Annual Meeting of the Japanese Association of Anatomists (JAA)・The 102nd Annual Meeting of the Physiological Society of Japan (PSJ)・The 98th Annual Meeting of the Japanese Pharmacological Society (JPS)』,
    Chiba, 2025.3.18 (2025.3.17~2025.3.19).

  4. Satoko Namba, Chen Li, Noriko Otani, and Yoshihiro Yamanishi.
    “Prediction of Therapeutic Target Molecules Using Machine Learning and Its Application to Rare Diseases.”
    『10th CBI Society Symposium on Personalized Medicine』, Gifu, 2024.2.27.

  5. Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Otani and Yoshihiro Yamanishi.
    “Therapeutic target prediction for rare diseases integrating GWAS and TWAS data”.
    『Informatics in Biology, Medicine and Pharmacology 2023』, Chiba, 2023.9.7 (2023.9.7~2023.9.9).

  6. Midori Iida, … Satoko Namba, et al.
    “Developing a network-based combination therapy approach for complex diseases”.
    『The Chem-Bio Informatics Society CBI Annual Meeting 2022』,
    Tokyo, 2022.10.25 (2022.10.25~2022.10.27).

  7. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Target repositioning: predicting therapeutic targets using genetically perturbed transcriptome.”
    『Informatics in Biology, Medicine and Pharmacology 2022』,
    Osaka, 2022.9.14 (2022.9.13~2022.9.15).

  8. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Target repositioning: predicting therapeutic targets using genetically perturbed transcriptome.”
    『14th Annual Meeting of the Young Researchers Association for Bioinformatics and Life Science』,
    Online, (2022.9.10~2022.9.11).

  9. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “From drug repositioning to target repositioning: omics-based prediction of therapeutic targets for a variety of diseases.”
    『The Chem-Bio Informatics Society CBI Annual Meeting 2021』,
    online, 10/26-28, 2021.

  10. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Proposal for target repositioning by transcriptomic signatures.”
    『13rd Annual Meeting of the Young Researchers Association for Bioinformatics and Life Science』,
    online, 10/22-24, 2021.

  11. Satoko Namba, Michio Iwata, Midori Iida, and Yoshihiro Yamanishi.
    “Predicting therapeutic targets and drugs by genetically perturbed transcriptome signatures.”
    『12nd Annual Meeting of the Young Researchers Association for Bioinformatics and Life Science』,
    online, 8/27-28, 2020.

  12. Satoko Namba and Hiroyuki Kubota.
    “Comparison of blood insulin level in diabetic and healthy rats.”
    『Association of Young Scientists for Mathematical Biology the 2rd Meeting』,
    Kanagawa, 8/29-31, 2019.

  13. Satoko Namba and Hiroyuki Kubota.
    “Comparison of blood insulin level in diabetic and healthy rats.”
    『Toyota Physical and Chemical Research Institute Specially Promoted Research Program Summer Training Camp』,
    Okinawa, 8/17-19, 2019.

🏯Poster Presentations at Domestic Conferences

  1. Futaba Sakaguchi, Miku Tanaka, Satoko Namba, et al.
    “Computational analysis of chemical features and mechanisms of compounds with anti-aging effects.”
    『The 145th Annual Meeting of the Pharmaceutical Society of Japan』,
    Fukuoka, 2025.3.27 (2025.3.26~2025.3.29).

  2. Futaba Sakaguchi, Miku Tanaka, Satoko Namba*, et al.
    “Analysis and prediction of small compounds that induce anti-aging reprogramming.”
    『The 130th Annual Meeting of the Japanese Association of Anatomists (JAA)・The 102nd Annual Meeting of the Physiological Society of Japan (PSJ)・The 98th Annual Meeting of the Japanese Pharmacological Society (JPS)』,
    Chiba, 2025.3.18 (2025.3.17~2025.3.19).

  3. Shuto Yoshimoto, … Satoko Namba, et al.
    “Prediction of Novel Therapeutic Targets and Drug Candidates for a Schizophrenia-like Mouse Model.”
    『The 61st Joint Kyushu Conference of Chemical Societies』,
    Fukuoka, 2024.6.29.

  4. Yoshino Kamenofuchi, … Satoko Namba, et al.
    “Prediction of drug target molecules and drug combination effects by machine learning.”
    『The 144th Annual Meeting of the Pharmaceutical Society of Japan』,
    Kanagawa, 2024.3.30 (2024.3.28~2024.3.31).

  5. Yoshino Kamenofuchi, … Satoko Namba, et al.
    “Development of a Computational Method for Predicting Drug Combinations that Enhance Synergistic Effects.”
    『The 97th Annual Meeting of the Japanese Pharmacological Society (JPS)』,
    Kobe, 2023.3.12.15 (2023.12.14~2023.12.16).

  6. Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Otani, and Yoshihiro Yamanishi.
    “Therapeutic target prediction for rare diseases integrating GWAS and TWAS data”.
    『Informatics in Biology, Medicine and Pharmacology 2023』,
    Chiba, 2023.9.7 (2023.9.7~2023.9.9).

  7. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Target repositioning: predicting therapeutic targets by genetically perturbed transcriptomic signatures.”
    『Informatics in Biology, Medicine and Pharmacology 2021』,
    online, 9/27-29, 2021 (Domestic conference).

  8. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Predicting therapeutic targets and drugs by genetically perturbed transcriptome signatures.”
    『Informatics in Biology, Medicine and Pharmacology 2020』,
    online, 9/1-3, 2020.

  9. Satoko Namba, Katsuya Ogata, and Shozo Tobimatsu.
    “Frequency dependent effect of iTBS-tACS.”
    『English Poster Presentation of Kyushu University School of Medicine』,
    Fukuoka, 10/24, 2018.

📰Media Coverage

  1. Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyam Otani, and Yoshihiro Yamanishi.
    “AI for Drug Discovery Treasure Hunting Is Born!”,
    Nagoya University Frontline,
    2025.6.27.
    web page

  2. Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyam Otani, and Yoshihiro Yamanishi.
    “Training AI to Learn Gene Abnormalities and Diseases: Nagoya University Team Develops Drug Discovery AI with High Potential for Rare Diseases”,
    The Chunichi Shimbun Morning Edition,
    2025.5.26.
    web page

  3. Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyam Otani, and Yoshihiro Yamanishi.
    “Training AI to Learn Gene Abnormalities and Diseases: Nagoya University Team Develops Drug Discovery AI with High Potential for Rare Diseases”,
    The Chunichi Shimbun Web,
    2025.5.25.
    web page

  4. Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyam Otani, and Yoshihiro Yamanishi.
    “AI Developed to Predict Therapeutic Targets for Rare Diseases”,
    Featured in RareS. — Japan’s leading platform for information on rare and intractable diseases,
    2025.5.15.
    web page

  5. ○Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyam Otani, and Yoshihiro Yamanishi.
    “Development of AI to predict therapeutic target molecules for rare diseases — integrating genome and transcriptome data for novel therapies”,
    Nagoya University Research News Press Release, April 21, 2024.
    web page

  6. ○Satoko Namba, Michio Iwata, Shin-Ichi Nureki, Noriko Yuyam Otani, and Yoshihiro Yamanishi.
    “Development of AI to predict therapeutic target molecules for rare diseases — integrating genome and transcriptome data for novel therapies”,
    research_er.com, April 21, 2024.
    web page

  7. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “Conference Report: ISMB2022”,
    Japanese Society for Bioinformatics (JSBI) Newsletter No. 42, January 31, 2023.
    web page

  8. Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “High-Precision Prediction of Key Therapeutic Targets for Drug Development Using Big Data — Developed by Kyushu Institute of Technology”,
    QLifePro—A trusted medical news platform targeted at healthcare professionals,
    2022.7.9.
    web page

  9. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “AI accurately predicts therapeutic targets from big data of biomolecules and diseases”
    Chem-Station Spotlight Research No. 408, Japan’s largest chemistry portal site, August 16, 2022.
    web page

  10. ○Satoko Namba, Michio Iwata, and Yoshihiro Yamanishi.
    “AI accurately predicts therapeutic targets from big data of biomolecules and diseases”
    Kyushu Institute of Technology Press Release, July 4, 2022.
    web page

[日本語版はこちら / Japanese version]