情報・人工知能研究
Masakazu Sekijima 関嶋 政和
准教授
Bioinformatics in silico Drug Discovery
研究プロジェクト
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Development of platform for efficiency of drug discovery by Machine learning, Augmented Reality, and Supercomputing and its application to search for therapeutic agents for tropical diseases.
トピックス
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令和2年度「情報化促進貢献個人等表彰」経済産業大臣賞を受賞
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Efficient combination of drug discovery and IT, Nikkei Shimbun
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The next generation of leaders, Nikkei Sangyo Shimbun
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Business and university seriously cooperate, Nikkan Kogyo Shimbun
| 2020- |
東京工業大学 情報理工学院 准教授 |
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| 2016-2020 |
東京工業大学 科学技術創成研究院 スマート創薬研究ユニット ユニットリーダー・准教授 |
| 2008-2016 |
東京工業大学 学術国際情報センター 准教授 |
| 2003-2008 |
独立行政法人産業技術総合研究所 研究員 |
| 2020 |
令和2年度「情報化促進貢献個人等表彰」経済産業大臣賞 |
|---|---|
| 2017 |
2017 SIGBIO Achievement Award 2017 by SIGBIO, IPSJ |
| 2014 |
2014 Young Researcher’s Award 2014 by IIBMP |
| 2019 |
Ramakrishnan C, Nagarajan R, Sekijima M, Gromiha MM., “Molecular dynamics simulations of cognate and non-cognate AspRS-tRNAAsp complexes.”, J Biomol Struct Dyn. 2020 Jan 3:1-12. |
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| 2019 |
Chiba S, et al., “A prospective compound screening contest identified broader inhibitors for Sirtuin 1.”, Sci Rep. 2019 Dec 20;9(1):19585. |
| 2019 |
S Jemimah, M Sekijima, MM Gromiha, “ProAffiMuSeq: Sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classification”, Bioinformatics, Volume 36, Issue 6, 15 |
| 2018 |
Ramakrishnan C, Mary Thangakani A, Velmurugan D, Anantha Krishnan D, Sekijima M, Akiyama Y, Gromiha MM, “Identification of type I and type II inhibitors of c-Yes kinase using in silico and experimental techniques”, J Biomol Struct Dyn. 2018 May;36(6):1566-1576 |
| 2018 |
N. Wakui et al., “Exploring the selectivity of inhibitor complexes with Bcl-2 and Bcl-XL: a molecular dynamics simulation approach”, Journal of Molecular Graphics and Modelling, doi.org/10.1016/j.jmgm.2017.11.011, 2018. |
| 2017 |
R. Yoshino et al., “In silico, in vitro, X-ray crystallography, and integrated strategies for discovering spermidine synthase inhibitors for Chagas disease”, Scientific Reports, 7, doi:10.1038/s41598-017-06411-9, 2017. |
| 2017 |
S. Chiba et al., “An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes”, Scientific Reports, 7, doi:10.1038/s41598-017-10275-4, 2017. |
| 2015 |
R. Yoshino et al., ” Pharmacophore Modeling for Anti-Chagas Drug Design Using the Fragment Molecular Orbital Method “, PLoS ONE, 10(5):e0125829, doi:10.1371/journal.pone.0125829, 2015. |
| 2015 |
S. Chiba et al, “Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target”, Scientific Reports, 5, doi:10.1038/srep17209 ,2015. |