関嶋 政和

情報・人工知能研究

Masakazu Sekijima関嶋 政和

准教授

Bioinformaticsin silico Drug Discovery

研究プロジェクト

  • 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

  • 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

  • Efficient combination of drug discovery and IT, Nikkei Shimbun

  • The next generation of leaders, Nikkei Sangyo Shimbun

  • Business and university seriously cooperate, Nikkan Kogyo Shimbun

2020-

東京工業大学 情報理工学院 准教授

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.

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 silicoin 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.