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J-GLOBAL ID：201801013135103392 Update date: Feb. 13, 2025

Terada Tohru

テラダトオル | Terada Tohru

Affiliation and department：
Job title： Professor
Homepage URL (2)： http://www.bi.a.u-tokyo.ac.jp/~tterada/index_ja.html , http://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 (17)：

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 - 2027 分子シミュレーションによる生体高分子の機能の予測と解析
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
2020 - 2023 マルチスケール心臓シミュレータと大規模臨床データの革新的統合による心不全パンデミックの克服

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Papers (204)：

Heru Pramono, Ayako Yoshida, Yuki Hirashima, Yusuke Sone, Tohru Terada, Saori Kosono, Makoto Nishiyama. Crystal structure of a novel heterooligomeric aminotransferase from Serratia sp. ATCC 39006 provides insights into function. FEBS Letters. 2025. 599. 1. 74-88
Yuhao Zhu, Takahiro Mori, Masayuki Karasawa, Kohei Shirai, Wenjiao Cheng, Tohru Terada, Takayoshi Awakawa, Ikuro Abe. Structure-function analysis of carrier protein-dependent 2-sulfamoylacetyl transferase in the biosynthesis of altemicidin. Nature Communications. 2024. 15. 10896
Takahiro Mori, Yoshitaka Moriwaki, Kosuke Sakurada, Shuang Lyu, Stanislav Kadlcik, Jiri Janata, Aninda Mazumdar, Marketa Koberska, Tohru Terada, Zdenek Kamenik, et al. Molecular basis for the diversification of lincosamide biosynthesis by pyridoxal phosphate-dependent enzymes. Nature Chemistry. 2024
Suguru Fujita, Tohru Terada. Enhanced prediction of protein functional identity through the integration of sequence and structural features. Computational and Structural Biotechnology Journal. 2024. 23. 4124-4130
Kazutoshi Tani, Saori Maki-Yonekura, Ryo Kanno, Tatsuki Negami, Tasuku Hamaguchi, Malgorzata Hall, Akira Mizoguchi, Bruno M. Humbel, Tohru Terada, Koji Yonekura, et al. Structure of endothelin ETB receptor-Gi complex in a conformation stabilized by unique NPxxL motif. Communications Biology. 2024

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MISC (41)：

若林孝俊, 若林孝俊, 本間大翔, 森脇由隆, 塩谷七洋, 茂田巧, 磯部一樹, 岡澤敦司, 太田大策, 寺田透, et al. Stereoselective synthesis of orobanchol by a dirigent domain-containing protein. 植物の生長調節. 2023. 58. Supplement
水口千穂, 水口千穂, TSAI Pi-Cheng, 寺田透, 寺田透, 野尻秀昭, 野尻秀昭. Structural basis of the electron transfer mechanism in heterohexamer-type ring-hydroxylating oxygenases. KEK Progress Report (Web). 2023. 2023-2
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

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Books (3)：

AlphaFold時代の構造バイオインフォマティクス実践ガイド : 今日からできる!構造データの基本操作から相互作用の推定、タンパク質デザインまで
羊土社 2024 ISBN:9784758122764
Web連携テキストバイオインフォマティクス : 基礎から応用
培風館 2022 ISBN:9784563078324
The ghrelin receptor gene in animal production
Cambridge Scholars Publishing 2019 ISBN:9781527538818

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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