Kawabata Takeshi

カワバタタケシ | Kawabata Takeshi

Affiliation and department：
Job title： Specially appointed associate professor
Homepage URL (1)： http://www.sb.ecei.tohoku.ac.jp/lab/members/

Research field (1)： Biophysics

Research theme for competitive and other funds (7)：

2017 - 2021 Multiscale atomic modeling based on electron microscopy 3D map using Gaussian mixture model
2014 - 2017 Comparison and superposition of low-resolution density maps and atomic models using Gaussian mixture model
2010 - 2012 A searching method for interacting chemical compounds for target proteins using 3D structures of compound-protein complexes
2007 - 2008 Analysis of geometric shapes of binding sites on protein-ligand complex for prediction of molecular interactions
2004 - 2004 タンパク質立体構造データベースに基づく分子間相互作用の解析

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Papers (68)：

Fusako Kawai, Ryo Iizuka, Takeshi Kawabata. Engineered polyethylene terephthalate hydrolases: perspectives and limits. Applied Microbiology and Biotechnology. 2024. 108. 1
Chenyao Wang, Shin-Ichiro Horigane, Minoru Wakamori, Shuhei Ueda, Takeshi Kawabata, Hajime Fujii, Itaru Kushima, Hiroki Kimura, Kanako Ishizuka, Yukako Nakamura, et al. Identification of ultra-rare disruptive variants in voltage-gated calcium channel-encoding genes in Japanese samples of schizophrenia and autism spectrum disorder. Translational psychiatry. 2022. 12. 1. 84-84
Gert-Jan Bekker, Masashi Yokochi, Hirofumi Suzuki, Yasuyo Ikegawa, Takeshi Iwata, Takahiro Kudou, Kei Yura, Toshimichi Fujiwara, Takeshi Kawabata, Genji Kurisu. Protein Data Bank Japan: Celebrating our 20th anniversary during a global pandemic as the Asian hub of three dimensional macromolecular structural data. Protein science : a publication of the Protein Society. 2022. 31. 1. 173-186
Tomonori Hayami, Narutoshi Kamiya, Kota Kasahara, Takeshi Kawabata, Jun-ichi Kurita, Yoshifumi Fukunishi, Yoshifumi Nishimura, Haruki Nakamura, Junichi Higo. Difference of binding modes among three ligands to a receptor mSin3B corresponding to their inhibitory activities. Scientific Reports. 2021. 11. 1
Kanako Ishizuka, Tomoyuki Yoshida, Takeshi Kawabata, Ayako Imai, Hisashi Mori, Hiroki Kimura, Toshiya Inada, Yuko Okahisa, Jun Egawa, Masahide Usami, et al. Functional characterization of rare NRXN1 variants identified in autism spectrum disorders and schizophrenia. Journal of Neurodevelopmental Disorders. 2020. 12. 1. 25-25

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MISC (12)：

BEKKER Gert-Jan, KAWABATA Takeshi, KURISU Genji. Biological Structure Model Archive: An archive for computationally obtained data. 生物物理(Web). 2019. 59. Supplement 1-2
木村大樹, 藤田幸, 川端猛, 森大輔, 岩山佳美, 岡久祐子, 池田匡志, 岩田仲生, 吉川武男, 山下俊英, et al. 統合失調症に強い関連を示した稀な遺伝子変異に基づく精神疾患の分子病態解明. 先進医薬研究振興財団研究成果報告集. 2018. 2017年度. 80-81
木村大樹, 藤田幸, 川端猛, 石塚佳奈子, Wang Chenyao, 岩山佳美, 岡久祐子, 久島周, 宇野洋太, 岡田俊, et al. 統合失調症発症に強い影響を及ぼす、頻度の低い稀な遺伝子変異を22q11.2欠失領域に存在するミエリン関連遺伝子のRTN4Rに同定した. 日本生物学的精神医学会・日本神経精神薬理学会合同年会プログラム・抄録集. 2017. 39回・47回. 190-190
A. R. Kinjo, G-J. Bekker, H. Suzuki, Y. Tsuchiya, T. Kawabata, Y. Ikegawa, G. Kurisu, H. Nakamura. Protein Data Bank Japan (PDBj): updated semantic web services and tools for large structures. EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS. 2017. 46. S274-S274
木村大樹, 尾崎紀夫, 藤田幸, 川端猛, 石塚佳奈子, Wang Chenyao, 岩山佳美, 岡久祐子, 久島周, 森川真子, et al. 統合失調症発症に強い影響を及ぼす、頻度の低い稀な遺伝子変異を22q11.2欠失領域に存在するミエリン関連遺伝子のRTN4Rに同定した. 精神神経学雑誌. 2017. 2017特別号. S622-S622

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Books (6)：

実験医学増刊 Vol.40 No.17 バイオDBとウェブツールラボで使える最新70選〜知る・学ぶ・使う、バイオDX時代の羅針盤
羊土社 2022 ISBN:4758104069
バイオインフォマティクス入門第2版
慶應義塾大学出版会 2021 ISBN:4766427912
よくわかるバイオインフォマティクス入門 (KS生命科学専門書)
講談社 2018 ISBN:4065138213
見てわかる構造生命科学: 生命科学研究へのタンパク質構造の利用
化学同人 2014 ISBN:4759815775
タンパク質の立体構造入門--基礎から構造バイオインフォマティクスへ (KS生命科学専門書)
講談社 2010 ISBN:4061538810

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Professional career (1)：

Ph.D (Agricultute) (The University of Tokyo)

Awards (1)：

2017/09 - The Biophysical Society of Japan Award for Outstanding Biophysics and Physicobiology Paper Takeshi Kawabata, Yusuke Sugihara, Yoshifumi Fukunishi, Haruki Nakamura "LigandBox: A database for 3D structures of chemical compounds" BIOPHYSICS Vol.9 pp.113-121 (2013)

Association Membership(s) (3)：

JAPANESE SOCIETY FOR BIOINFORMATICS , PROTEIN SCIENCE SOCIETY OF JAPAN , THE BIOPHYSICAL SOCIETY OF JAPAN

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