Rchr
J-GLOBAL ID:201801013135103392   Update date: Apr. 20, 2024

Terada Tohru

テラダ トオル | Terada Tohru
Affiliation and department:
Job title: Associate Professor
Homepage URL  (2): http://www.bi.a.u-tokyo.ac.jp/~tterada/index_ja.htmlhttp://www.bi.a.u-tokyo.ac.jp/~tterada/index.html
Research field  (1): Biophysics
Research keywords  (3): Molecular dynamics ,  Bioinformatics ,  Molecular simulation
Research theme for competitive and other funds  (14):
  • 2022 - 2027 予知生合成科学・研究総括班
  • 2022 - 2027 Development of a method to predict substrate and reaction specificities using predicted structures
  • 2022 - 2025 クライオ電顕を用いた鉄錯体輸送体の基質認識と輸送機構の解明
  • 2015 - 2018 A theoretical verification of the ligand-binding-pathway hypothesis
  • 2012 - 2015 Multi-scale simulation of protein-ligand binding process
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Papers (198):
  • Atsushi Yamagata, Kaori Ito, Takehiro Suzuki, Naoshi Dohmae, Tohru Terada, Mikako Shirouzu. Structural basis for antiepileptic drugs and botulinum neurotoxin recognition of SV2A. Nature Communications. 2024
  • Fan Zhao, Yoshitaka Moriwaki, Tomohiro Noguchi, Kentaro Shimizu, Tomohisa Kuzuyama, Tohru Terada. QM/MM Study of the Catalytic Mechanism and Substrate Specificity of the Aromatic Substrate C-Methyltransferase Fur6. Biochemistry. 2024. 63. 6. 806-814
  • Masato Homma, Takatoshi Wakabayashi, Yoshitaka Moriwaki, Nanami Shiotani, Takumi Shigeta, Kazuki Isobe, Atsushi Okazawa, Daisaku Ohta, Tohru Terada, Kentaro Shimizu, et al. Insights into stereoselective ring formation in canonical strigolactone: Discovery of a dirigent domain-containing enzyme catalyzing orobanchol synthesis. 2023
  • Tomoki Sawa, Yoshitaka Moriwaki, Hanting Jiang, Kohji Murase, Seiji Takayama, Kentaro Shimizu, Tohru Terada. Comprehensive computational analysis of the molecular mechanism of self-incompatibility in Brassicaceae using improved structure prediction. 2023
  • Tomoki Sawa, Yoshitaka Moriwaki, Hanting Jiang, Kohji Murase, Seiji Takayama, Kentaro Shimizu, Tohru Terada. Comprehensive computational analysis of the SRK-SP11 molecular interaction underlying self-incompatibility in Brassicaceae using improved structure prediction for cysteine-rich proteins. bioRxiv. 2023
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MISC (39):
  • Anri Terabayashi, Momoka Nakamura, Kyosuke Sakata, Takuya Miyakawa, Masaru Tanokura, Tohru Terada, Masaki Kojima. 2Pos062 A new program to analyze protein structures based on the geometric context. Seibutsu Butsuri. 2019. 59. Supplement1-2. S322-S492
  • 水口千穂, VASILEVA Delyana, 藤本瑞, 寺田透, 岡田憲典, 野尻秀昭, 野尻秀昭. プラスミド・宿主染色体由来H-NSファミリータンパク質のヘテロ多量体形成機構. 日本農芸化学会大会講演要旨集(Web). 2017. 2017
  • 角埜裕基, 水口千穂, 高橋裕里香, 寺田透, 岡田憲典, 野尻秀昭. Pseudomonas属細菌由来H-NSファミリータンパク質のDNA結合ドメインが持つ塩基配列嗜好性の解析. 日本ゲノム微生物学会年会要旨集. 2017. 11th
  • Haruyuki Yamashita, Tohru Terada, Reiko Ueda, Yoshiro Ishimaru, Keiko Abe, Tomiko Asakura. Long chain fatty acids have a bitterness-masking effect on quinine and other nitrogenous bitter substances by formation of insoluble binary complexes. CHEMICAL SENSES. 2016. 41. 9. E224-E224
  • Yoshitaka Moriwaki, Tohru Terada, Kouhei Tsumoto, Kentaro Shimizu. Insight into a Rapid Heme Transfer Reaction between Near Transporter Domains of Staphylococcus Aureus: A Theoretical Study using QM/MM and MD Simulations. BIOPHYSICAL JOURNAL. 2016. 110. 3. 381A-381A
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Lectures and oral presentations  (19):
  • Molecular simulation studies on protein functions and improvement of the efficiency of cryo-EM data collection by machine learning
    (AHeDD2019/IPAB2019 Joint Symposium 2019)
  • Molecular simulation studies on protein functions and improvement of the efficiency of cryo-EM data collection by machine learning
    (Chem-Bio Informatics Society (CBI) Annual Meeting 2019 2019)
  • Molecular simulations of ion channels to investigate voltage-dependent conformational change and drug-induced blockade
    (11th symposium on Discovery, Fusion, Creation of New Knowledge by Multidisciplinary Computational Sciences (CCS International Symposium 2019) 2019)
  • Development of a deep-learning-based method to identify “good” regions of a cryo-EM grid
    (The 57th Annual Meeting of the Biophysical Society of Japan 2019)
  • Analysis of the dynamics of protein conformational change using Markov state model
    (The 56th Annual Meeting of the Biophysical Society of Japan 2018)
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Education (3):
  • 1994 - 1999 The University of Tokyo Graduate School of Science Department of Biophysics and Biochemistry
  • 1992 - 1994 The University of Tokyo Faculty of Science Department of Biophysics and Biochemistry
  • 1990 - 1992 The University of Tokyo College of Arts and Sciences Junior Division
Professional career (1):
  • Ph.D. (The University of Tokyo)
Work history (13):
  • 2024/04 - 現在 The University of Tokyo Department of Biotechnology, Graduate School of Agricultural and Life Sciences Professor
  • 2020/04 - 2024/03 The University of Tokyo Department of Biotechnology, Graduate School of Agricultural and Life Sciences Associate Professor
  • 2018/04 - 2020/03 The University of Tokyo Interfaculty Initiative in Information Studies Associate Professor
  • 2016/04 - 2018/03 The University of Tokyo Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences Project Associate Professor
  • 2014/04 - 2016/03 The University of Tokyo Department of Biotechnology, Graduate School of Agricultural and Life Sciences Associate Professor
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Association Membership(s) (6):
Biophysical Society ,  THE MOLECULAR SIMULATION SOCIETY OF JAPAN ,  CHEM-BIO INFORMATICS SOCIETY ,  JAPANESE SOCIETY FOR BIOINFORMATICS ,  PROTEIN SCIENCE SOCIETY OF JAPAN ,  THE BIOPHYSICAL SOCIETY OF JAPAN
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