Selective labeling strategy, tolerant of amino-acid scrambling, for various expression systems
Project/Area Number |
26650027
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Structural biochemistry
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Research Institution | Institute of Physical and Chemical Research |
Principal Investigator |
KASAI Takuma 国立研究開発法人理化学研究所, 生命システム研究センター, 研究員 (70446516)
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
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Keywords | 蛋白質 / NMR / アミノ酸選択的安定同位体標識 / 符号化標識法 / ピークフィッティング / レプリカ交換モンテカルロ法 / タンパク質 / アミノ酸選択的安定同位体標識法 |
Outline of Final Research Achievements |
Amino-acid selective stable isotope labeling is a powerful method for signal assignment processes for protein analyses with NMR. This method relies on expression systems with suppressed amino-acid scrambling, such as cell-free protein synthesis. The basic idea of this study is to estimate change of isotope labeling ratio derived from the amino-acid scrambling as unknown parameters from NMR spectra. Such approach requires a method for searching huge parameter space. Therefore we developed a parameter-optimization method for analyses of NMR spectra of amino-acid selectively isotope labeled proteins, using replica exchange Monte Carlo. This method also enabled analyses of low signal-to-noise-ratio spectra.
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Report
(4 results)
Research Products
(16 results)
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[Presentation] Spectral analysis using prior knowledge2016
Author(s)
Takuma Kasai, Kenji Nagata, Masato Okada, Takanori Kigawa
Organizer
The 57th Experimental Nuclear Magnetic Resonance Conference
Place of Presentation
Wyndham Grand Hotel(アメリカ合衆国ピッツバーグ)
Year and Date
2016-04-11
Related Report
Int'l Joint Research
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[Presentation] NMR spectral analysis using prior knowledge2015
Author(s)
Takuma Kasai, Kenji Nagata, Masato Okada, Takanori Kigawa
Organizer
International Meeting on "High-Dimensional Data Driven Science"
Place of Presentation
メルパルク京都(京都府・京都市)
Year and Date
2015-12-14
Related Report
Int'l Joint Research / Invited
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