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Fast NMR data acquisition using advanced signal estimation for in-cell NMR

Research Project

Project/Area Number 25840018
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Structural biochemistry
Research InstitutionThe University of Tokyo

Principal Investigator

Sumikoshi Kazuya  東京大学, 大学院情報学環, 特任助教 (90431832)

Project Period (FY) 2013-04-01 – 2017-03-31
Project Status Completed (Fiscal Year 2016)
Budget Amount *help
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
KeywordsNMR / 核磁気共鳴 / 信号処理
Outline of Final Research Achievements

The aim of this project is to develop a fast NMR data acquisition method using an advanced signal estimation technique in order to be able to get structural information even from molecules which deteriorate in a short time. Toward this goal, we developed a software that can estimate NMR spectra from small amount of sampling data, which can be quickly obtained, by using a novel technique called compressed sensing. With the estimation using the deep knowledge of the characteristics of NMR data, we achieved higher performance than conventional methods.

Report

(5 results)
  • 2016 Annual Research Report   Final Research Report ( PDF )
  • 2015 Research-status Report
  • 2014 Research-status Report
  • 2013 Research-status Report
  • Research Products

    (5 results)

All 2017 2016 2015 2014 2013

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 2 results,  Acknowledgement Compliant: 2 results) Presentation (3 results)

  • [Journal Article] Development of a sugar-binding residue prediction system from protein sequences using support vector machine2017

    • Author(s)
      M. Banno, Y. Komiyama, W. Cao, Y. Oku, K. Ueki, K. Sumikoshi, S. Nakamura, T. Terada, K. Shimizu
    • Journal Title

      Journal of Computational Biology and Chemistry

      Volume: 66 Pages: 36-43

    • DOI

      10.1016/j.compbiolchem.2016.10.009

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Development of a protein-ligand-binding site prediction method based on interaction energy and sequence conservation2016

    • Author(s)
      H. Tsujikawa, K. Sato, W. Cao, G. Saad, K. Sumikoshi, S. Nakamura, T. Terada, K. Shimizu
    • Journal Title

      Journal of Structural and Functional Genomics

      Volume: 17 Issue: 2-3 Pages: 39-49

    • DOI

      10.1007/s10969-016-9204-2

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] 複数の正則化項を用いた圧縮センシングによるNMRスペクトルの再構成2015

    • Author(s)
      角越 和也, 池谷 鉄兵, 伊藤 隆, 清水 謙多郎
    • Organizer
      第53回日本生物物理学会年会
    • Place of Presentation
      金沢大学 角間キャンパス (石川県金沢市)
    • Year and Date
      2015-09-13
    • Related Report
      2015 Research-status Report
  • [Presentation] NMRスペクトルの再構成における圧縮センシングの基底選択の影響2014

    • Author(s)
      角越 和也, 池谷 鉄兵, 伊藤 隆, 清水 謙多郎
    • Organizer
      第52回日本生物物理学会年会
    • Place of Presentation
      札幌コンベンションセンター(北海道札幌市)
    • Year and Date
      2014-09-25 – 2014-09-27
    • Related Report
      2014 Research-status Report
  • [Presentation] 圧縮センシングを用いたNMRスペクトルの復元法2013

    • Author(s)
      角越 和也,池谷 鉄兵,伊藤 隆,清水 謙多郎
    • Organizer
      第51回日本生物物理学会年会
    • Place of Presentation
      国立京都国際会館(京都)
    • Related Report
      2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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