Updated on 2024/05/14

 
TAKEMOTO Kazuhiro
 
Scopus Paper Info  
Total Paper Count: 0  Total Citation Count: 0  h-index: 15

Citation count denotes the number of citations in papers published for a particular year.

Affiliation
Faculty of Computer Science and Systems Engineering Department of Bioscience and Bioinformatics
Job
Professor
External link

Research Interests

  • Data Science

  • Computational and Integrative Biology

  • Bioinformatics

  • Deep Neural Networks

  • Adversarial Attacks and Defenses

  • Network Science

Research Areas

  • Environmental Science/Agriculture Science / Environmental impact assessment

  • Informatics / Life, health and medical informatics

Degree

  • Kyoto University  -  Ph.D.   2008.03

Biography in Kyutech

  • 2022.01
     

    Kyushu Institute of Technology   Faculty of Computer Science and Systems Engineering   Department of Bioscience and Bioinformatics   Professor  

  • 2019.04
    -
    2021.12
     

    Kyushu Institute of Technology   Faculty of Computer Science and Systems Engineering   Department of Bioscience and Bioinformatics   Associate Professor  

  • 2015.07
    -
    2019.03
     

    Kyushu Institute of Technology   Faculty of Computer Science and Systems Engineering   Department of Bioscience and Bioinformatics   Associate Professor  

  • 2012.04
    -
    2015.06
     

    Kyushu Institute of Technology   Faculty of Computer Science and Systems Engineering   Department of Bioscience and Bioinformatics   Assistant Professor  

Academic Society Memberships

  • 2006.11   日本バイオインフォマティクス学会   Japan

  • 2004.12   日本物理学会   Japan

Papers

  • All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks Reviewed International journal

    Takemoto K

    Applied Sciences   14 ( 9 )   3558-1 - 3558-14   2024.04

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    Authorship:Lead author, Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/app14093558

    Kyutacar

  • ビッグデータとAIが拓く新時代のバイオインフォマティクスー医療と創薬のAI新時代 Invited Reviewed

    竹本和広

    化学と工業   77 ( 4 )   265 - 267   2024.04

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    Authorship:Lead author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

  • The moral machine experiment on large language models Reviewed International journal

    Takemoto K

    Royal Society Open Science   11 ( 2 )   231393-1 - 231393-8   2024.02

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    Authorship:Lead author, Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1098/rsos.231393

    Kyutacar

  • Revisiting the political biases of ChatGPT Reviewed International journal

    Fujimoto S, Takemoto K

    Frontiers in Artificial Intelligence   6   1232003-1 - 1232003-6   2023.10

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3389/frai.2023.1232003

    Kyutacar

  • Mitigation of adversarial attacks on voter model dynamics by network heterogeneity Reviewed International journal

    Chiyomaru K, Takemoto K

    Journal of Physics: Complexity ( IOP Publishing )   4 ( 3 )   025009-1 - 025009-9   2023.05

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1088/2632-072X/acd296

    Kyutacar

  • Backdoor attacks on deep neural networks via transfer learning from natural images Reviewed International journal

    Matsuo Y, Takemoto K

    Applied Sciences   12 ( 24 )   12564-1 - 12564-11   2022.12

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/app122412564

    Kyutacar

  • Adversarial attacks on voter model dynamics in complex networks Reviewed International journal

    Chiyomaru K, Takemoto K

    Physical Review E ( American Physical Society. )   106 ( 1 )   014301-1 - 014301-6   2022.07

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1103/PhysRevE.106.014301

    DOI: 10.1103/PhysRevE.106.014301

    Kyutacar

  • Simple black-box universal adversarial attacks on deep neural networks for medical image classification Reviewed International journal

    Koga K, Takemoto K

    Algorithms   15 ( 5 )   144-1 - 144-12   2022.04

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/a15050144

    DOI: 10.3390/a15050144

    Kyutacar

  • Natural images allow universal adversarial attacks on medical image classification using deep neural networks with transfer learning Reviewed International journal

    Akinori Minagi, Hokuto Hirano, Kazuhiro Takemoto

    Journal of Imaging   8 ( 2 )   38-1 - 38-15   2022.02

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/jimaging8020038

    Kyutacar

  • Backdoor attacks to deep neural network-based system for COVID-19 detection from chest X-ray images Reviewed International journal

    Matsuo Y, Takemoto K

    Applied Sciences   11 ( 20 )   9556-1 - 9556-10   2021.10

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/app11209556

    Kyutacar

  • ネットワーク伝播による生物ネットワーク解析 Invited Reviewed

    千代丸勝美, 竹本和広

    JSBi Bioinformatics Review   1 ( 2 )   26 - 36   2021.04

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

    DOI: 10.11234/jsbibr.2021.2

  • Diversity of dominant soil bacteria increases with warming velocity at the global scale Reviewed International journal

    Kanzaki Y, Takemoto K

    Diversity   13 ( 3 )   120-1 - 120-11   2021.03

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/d13030120

    Kyutacar

  • Universal adversarial attacks on deep neural networks for medical image classification Reviewed International journal

    Hirano H, Minagi A, Takemoto K

    BMC Medical Imaging   21   9-1 - 9-13   2021.01

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1186/s12880-020-00530-y

    Kyutacar

  • Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks Reviewed International journal

    Hirano H, Koga K, Takemoto K

    PLoS ONE   15 ( 12 )   e0243963-1 - e0243963-15   2020.12

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1371/journal.pone.0243963

    Kyutacar

  • Simple iterative method for generating targeted universal adversarial perturbations Reviewed International journal

    Hirano H, Takemoto K

    Algorithms   13 ( 11 )   268-1 - 268-10   2020.10

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/a13110268

    Kyutacar

  • The brain-derived neurotrophic factor Val66Met polymorphism increases segregation of structural correlation networks in healthy adult brains Reviewed International journal

    Ueda I, Takemoto K, Watanabe K, Sugimoto K, Ikenouchi A, Kakeda S, Katsuki A, Yoshimura R, Korogi Y

    PeerJ   2020.08

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.7717/peerj.9632

    Kyutacar

  • Revisiting the hypothesis of an energetic barrier to genome complexity between eukaryotes and prokaryotes Reviewed International journal

    Chiyomaru K, Takemoto K

    Royal Society Open Science   7   191859-1 - 191859-9   2020.02

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1098/rsos.191859

    Kyutacar

  • Simple iterative method for generating targeted universal adversarial perturbations Reviewed International journal

    Hirano H, Takemoto K

    Proceedings of 25th International Symposium on Artificial Life and Robotics   426 - 430   2020.01

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)

  • Difficulty in inferring microbial community structure based on co-occurrence network approaches Reviewed

    BMC Bioinformatics   20   329-1 - 329-14   2019.06

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1186/s12859-019-2915-1

    Kyutacar

  • Ecological Networks Invited Reviewed International journal

    Takemoto K, Iida M

    Reference Module in Life Sciences   2019.04

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    Authorship:Lead author   Language:English   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

    DOI: 10.1016/B978-0-12-809633-8.20203-3

  • Brain structural connectivity and neuroticism in healthy adults Reviewed

    Ueda I, Kakeda S, Watanabe K, Sugimoto K, Igata N, Moriya J, Takemoto K, Katsuki A, Yoshimura R, Abe O, Korogi Y

    Scientific Reports (Nature Publishing Group)   8   16491-1 - 16491-8   2018.11

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1038/s41598-018-34846-1

    Kyutacar

    Other Link: https://www.nature.com/articles/s41598-018-34846-1

  • A network biology-based approach to evaluating the effect of environmental contaminants on human interactome and diseases Reviewed

    Ecotoxicology and Environmental Safety   160   316 - 327   2018.09

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1016/j.ecoenv.2018.05.065

    Kyutacar

  • Network resilience of mutualistic ecosystems and environmental changes: an empirical study Reviewed

    5   180706-1 - 180706-12   2018.09

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1098/rsos.180706

    Kyutacar

  • Decomposing the effects of ocean environments on predator-prey body-size relationships in food webs Reviewed

    5   180707-1 - 180707-10   2018.07

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1098/rsos.180707

    Kyutacar

  • MAPLE 2.3.0: an improved system for evaluating the functionomes of genomes and metagenomes Reviewed

    82 ( 9 )   1515 - 1517   2018.05

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1080/09168451.2018.1476122

  • PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural and network features in a machine learning framework Reviewed

    Song J, Li F, Takemoto K, Haffari G, Akutsu T, Chou K-C, Webb G I

    Journal of Theoretical Biology   443   125 - 137   2018.04

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1016/j.jtbi.2018.01.023

    Kyutacar

  • Large-scale aggregation analysis of eukaryotic cytosolic proteins reveals an involvement of intrinsically disordered regions in protein folding Reviewed

    Uemura E, Niwa T, Minami S, Takemoto K, Fukuchi S, Machida K, Imataka H, Ueda T, Ota M, Taguchi H

    Scientific Reports (Nature Publishing Group)   8   678-1 - 678-11   2018.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1038/s41598-017-18977-5

    Other Link: https://www.nature.com/articles/s41598-017-18977-5

  • Limitations of a metabolic network-based reverse ecology method for inferring host-pathogen interactions Reviewed

    BMC Bioinformatics   18   278-1 - 278-9   2017.05

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1186/s12859-017-1696-7

    Kyutacar

  • 代謝ネットワークを用いた微生物生態系の可視化

    竹本和広

    実験医学増刊 ( 羊土社 )   35 ( 5 )   211 - 214   2017.03

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

  • 代謝ネットワークの数理モデルとその応用

    竹本和広

    応用数理 ( 岩波書店 )   24 ( 1 )   10 - 18   2014.03

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (other)

  • 代謝ネットワークのロバストネス

    竹本和広

    細胞工学 ( 学研メディカル秀潤社 )   33 ( 1 )   31 - 36   2014.01

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

  • Current understanding of the formation and adaptation of metabolic systems based on network theory

    Takemoto K

    Metabolites ( MDPI )   2 ( 3 )   429 - 457   2012.07

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    Authorship:Corresponding author   Language:English   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

    DOI: 10.3390/metabo2030429

  • 代謝ネットワーク形成の理解に向けて

    竹本和広

    実験医学増刊 ( 羊土社 )   29 ( 7 )   180 - 185   2011.04

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

  • Measuring structural robustness of metabolic networks under a boolean model using integer programming and feedback vertex sets Reviewed

    Tamura T., Takemoto K., Akutsu T.

    Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009   819 - 824   2009.10

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/CISIS.2009.49

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=70349745315&origin=inward

  • Effects of feedback and feedforward loops on dynamics of transcriptional regulatory model networks Reviewed

    Oosawa C., Takemoto K., Savageau M.

    Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08   885 - 890   2008.12

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    Language:English   Publishing type:Research paper (international conference proceedings)

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=53949119078&origin=inward

  • Local cause of coherence in Boolean networks Reviewed

    Oosawa C., Takemoto K., Matsumoto S., Savageau M.

    Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07   621 - 626   2007.12

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    Language:English   Publishing type:Research paper (international conference proceedings)

    We have performed numerical study on random Boolean networks with power-law rank outdegree distributions to find local structural cause for emergence of high or low degree of coherence in binary state variables of the entire networks. The degree of randomness and coherence of the binary sequence, are measured by entropy and mutual information, depend on local structure that consists of a node with highly connected, called hub, and its upstream nodes, and types of Boolean functions for the nodes. With the larger number of output connections from a hub, the effects of Boolean function on the hub are more prominent. The local structures that give larger entropy tends to give rise to larger mutual information. On the basis of both numerical results and structural condition we derived time-independnt transmission characteristic function of state variables for local structures. We show good relations between the numerical and the analytical results, reveals that dynamical properties from the whole networks can be inferred from the differences in the local structures. ©ISAROB 2007.

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78449241462&origin=inward

  • Effefts of embedded motifs on behavior of Boolean networks Reviewed

    OOSAWA Chikoo, TAKEMOTO Kazuhiro

    IEICE technical report ( The Institute of Electronics, Information and Communication Engineers )   107 ( 349 )   1 - 6   2007.11

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)

    We show advantages of feedforward loops using Boolean network that is one of the discrete dynamical models for the transcriptional regulatory networks. After making comparison dynamical behaviors from the networks embedded six different motif structures including feedback and feedforward loops, we found that feedforward loops can provide higher temporal order (coherence) with lower entropy (randomness) in temporal program of gene expression. The other five motif structures show opposite effect on dynamics of the networks. These results may as well suggest that feedforward loop is one of the favorable local structures in biological complex networks.

    CiNii Article

    Other Link: https://ci.nii.ac.jp/naid/110006533435

  • M<SUB>3</SUB>: Merging Module Model for a Network with Scale-Free Properties and Modularity Reviewed

    Takemoto Kazuhiro, Oosawa Chikoo

    Genome Informatics   14   378 - 379   2003.01

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.11234/gi1990.14.378

    CiNii Article

    Other Link: https://ci.nii.ac.jp/naid/130003811898

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Publications (Books)

  • 生物ネットワーク解析

    竹本和広(Sole author)

    コロナ社  2021.10  ( ISBN:4339027324

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    Language:Japanese

  • バイオインフォマティクス ―Pythonによる実践レシピ―

    阿久津達也, 竹本和広(Joint translator)

    朝倉書店  2020.08  ( ISBN:978-4-254-12254-1

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    Language:Japanese

  • バイオインフォマティクス入門

    日本バイオインフォマティクス学会 (編集)(Joint author ,  6-6, 6-7, 6-8節)

    慶應義塾大学出版会  2015.08  ( ISBN:4766422511

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    Language:Japanese

  • Statistical and Machine Learning Approaches for Network Analysis

    (Joint author)

    John Wiley & Sons  2012.08  ( ISBN:0470195150

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    Language:English

Conference Prsentations (Oral, Poster)

  • 敵対的攻撃を用いたソーシャルネットワークにおける意見分極の抑制

    二宮理徳, 千代丸勝美, 竹本和広, 一ノ瀬元喜

    ネットワーク科学研究会2023 

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    Event date: 2023.12.23 - 2023.12.24   Language:Japanese  

  • Exploration of diseases influenced by PFAS using network biology

    飯田緑, 竹本和広, 高橋啓斗

    2023年日本バイオインフォマティクス学会年会・第12回生命医薬情報学連合大会 

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    Event date: 2023.09.07 - 2023.09.09   Language:Japanese  

  • Differential correlation network analysis methods for microbiome data

    Yilang Zhao and Kazuhiro Takemoto

    Various Synthetic Biology by Informatics and Experimental Approaches 

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    Event date: 2022.09.28   Language:English  

  • 複雑ネットワークにおける投票モデルダイナミクスに対する敵対的攻撃 Invited

    千代丸勝美, 竹本和広

    ネットワーク科学研究会2022 

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    Event date: 2022.08.23 - 2022.08.25   Language:Japanese  

  • Opinion dynamics can be unknowingly distorted in complex networks

    Chiyomaru K, Takemoto K

    The 2022 edition of the annual International Conference and School on Network Science (NetSci 2022) 

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    Event date: 2022.07.25 - 2022.07.29   Language:English  

  • グローバルな情報を加味するセマンティックセグメンテーションとラベルの重複を許す分類のジョイントの学習

    平野北斗, 竹本和広, 大北剛

    第23回情報論的学習理論ワークショップ (IBIS 2020) 

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    Event date: 2020.11.23 - 2020.11.26   Language:Japanese  

  • 環境変動と土壌マイクロバイオームの関係についての全球規模解析

    神崎祥昭, 竹本和広

    2020年日本バイオインフォマティクス学会年会・第9回生命医薬情報学連合大会 

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    Event date: 2020.09.01 - 2020.09.03   Language:Japanese  

  • 肺炎診断用深層ニューラルネットワークのバックドア攻撃に対する脆弱性

    松尾優希, 平野北斗, 竹本和広

    2020年日本バイオインフォマティクス学会年会・第9回生命医薬情報学連合大会 

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    Event date: 2020.09.01 - 2020.09.03   Language:Japanese  

  • 精神疾患リスクと環境パラメータの関連性についての地理空間データ分析

    伊東拓海, 竹本和広

    2020年日本バイオインフォマティクス学会年会・第9回生命医薬情報学連合大会 

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    Event date: 2020.09.01 - 2020.09.03   Language:Japanese  

  • 転移学習された医用画像分類モデルの普遍的敵対的摂動に対する脆弱性

    三奈木啓成, 平野北斗, 竹本和広

    2020年日本バイオインフォマティクス学会年会・第9回生命医薬情報学連合大会 

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    Event date: 2020.09.01 - 2020.09.03   Language:Japanese  

  • Universal Adversarial Perturbation を用いた COVID-19 診断用深層ニューラルネットワークの信頼性評価

    平野北斗, 三奈木啓成, 竹本和広

    2020年日本バイオインフォマティクス学会年会・第9回生命医薬情報学連合大会 

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    Event date: 2020.09.01 - 2020.09.03   Language:Japanese  

  • Simple iterative method for generating targeted universal adversarial perturbations

    25th International Symposium on Artificial Life and Robotics (AROB 25th 2020) 

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    Event date: 2020.01.22 - 2020.01.24   Language:English  

  • 原核生物-真核生物間のエネルギー障壁の統計解析

    千代丸勝美, 竹本和広

    日本生体エネルギー研究会第45回討論会 

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    Event date: 2019.12.20 - 2019.12.22   Language:Japanese  

  • Universal Adversarial Perturbationを用いた医療画像診断用ディープニューラルネットワークの信頼性評価

    平野北斗, 三奈木啓成, 竹本和広

    第22回情報論的学習理論ワークショップ (IBIS 2019) 

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    Event date: 2019.11.20 - 2019.11.22   Language:Japanese  

  • 転移学習された画像分類モデルのUniversal Adversarial Perturbationに対する脆弱性:病理画像診断を例にして

    三奈木啓成, 平野北斗, 竹本和広

    第22回情報論的学習理論ワークショップ (IBIS 2019) 

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    Event date: 2019.11.20 - 2019.11.22   Language:Japanese  

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Lectures

  • 複雑にネットワーク化されたシステムの脆弱性:AIから社会システムまで

    武蔵野大学数理工学シンポジウム2022  2022.11 

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    Language:Japanese   Presentation type:Invited lecture  

  • 深層ニューラルネットワークのロバスト性:画像診断システムから社会システムまで

    データ駆動生物学研究室研究セミナー  2022.07 

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    Language:Japanese   Presentation type:Special lecture  

  • バイオインフォマティクスから見た微生物群集

    京都大学生態学研究センター共同利用ワークショップ「微生物を軸とした群集構造研究の統合とさらなる展開」  2021.09 

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    Language:Japanese   Presentation type:Invited lecture  

  • 微生物群集構造の推定:共起ネットワーク分析と代謝ネットワーク解析

    第320回京都大学生態学研究セミナー  2020.11 

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    Language:Japanese   Presentation type:Invited lecture  

  • 複雑ネットワーク生物学:理論と応用

    第6回生命医薬情報学連合大会  2017.09 

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    Presentation type:Special lecture  

  • Stability of ecological communities: A network perspective

    2017.07 

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    Presentation type:Invited lecture  

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Honors and Awards

  • Oxford Journals - JSBi Prize 2017

    2017.09.29

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    Country:Japan

Grants-in-Aid for Scientific Research

  • 医用画像診断深層ニューラルネットワークの信頼性・安全性確保のための計算手法開発

    Grant number:21H03545  2021.04 - 2026.03   基盤研究(B)

  • 数理解析とメタゲノミクスでマイクロバイオーム撹乱後の回復を予測する

    Grant number:18K19846  2018.04 - 2020.03   挑戦的研究(萌芽)

  • 代謝ネットワークを通して可能にする微生物生態系の機能評価とデザイン:理論と応用

    Grant number:17H04703  2017.04 - 2021.03   若手研究(A)

  • 農耕地生態系の潜在的物質循環ポテンシャルを可視化する

    Grant number:15KT0039  2015.07 - 2018.03   基盤研究(B)

  • メタゲノミクスと数理統計学の融合による新規な環境影響評価法の開発

    Grant number:26550053  2014.04 - 2016.03   挑戦的萌芽研究

  • 代謝ネットワークから解き明かす生物—環境相互作用:解析基盤の確立と応用

    Grant number:25700030  2013.04 - 2017.03   若手研究(A)

  • 統計力学に基づく生化学反応ネットワークの解析とモデル化

    Grant number:07J00209  2007.04 - 2009.03   特別研究員奨励費

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Contracts

  • 菌種間相互作用情報とホスト状態変化とを利用した将来の菌叢と健康状態を予測する手法開発

    2022.04 - 2024.03

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    Grant type:Joint research

    Cykinsoの保有する日本人集団(2万検体)の細菌叢情報を利用し、日本人の属性別、状態変数別の菌種間相互作用情報と、代謝ネットワークに基づいた菌種間相互作用情報を統合する。ユーザーの検査結果(菌組成)と状態に対応する将来の菌組成と菌 種間相互作用パターンを予測して検査結果として通知できるようなアルゴリズムを開発する。

  • JSTさきがけ「環境適応から解き明かす代謝ネットワークの設計原理」

    2009.10 - 2013.03

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    Grant type:Consigned research

Other External Funds

  • Elucidation of the design principles of metabolic pathways of living organisms via mathematical modelling analysis

    2013.01 - 2013.06

    International Young Scientists Program of National Natural Science Foundation of China  

  • Computational analysis of metabolic networks from a viewpoint of structure and physicochemical properties of proteins

    2012.09 - 2013.08

    Chinese Academy of Science Fellowship for Young International Scientists  

Charge of off-campus class subject

  • 2022.07   Institution:広島大学

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    Level:postgraduate_courses 

Activities of Academic societies and Committees

  • Respiratory Research   Associate Editor  

    2023.06

  • 日本バイオインフォマティクス学会   九州地域部会長  

    2023.04

  • 日本バイオインフォマティクス学会   理事  

    2019.04 - 2023.03

  • PLOS ONE   Academic Editor  

    2017.09

  • Scientific Reports (Nature Publishing Group)   Editorial Board  

    2015.06