| Project/Area Number |
24770101
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Structural biochemistry
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
IKEYA Teppei 首都大学東京, 理工学研究科, 助教 (30457840)
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| Co-Investigator(Renkei-kenkyūsha) |
ITO Yutaka 首都大学東京, 理工学研究科, 教授 (80261147)
GUENTERT Peter 首都大学東京, 理工学研究科, 客員教授 (20392110)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | In-cell NMR / 蛋白質立体構造計算 / pseudocontact shift / Maximum Entropy / in-cell NMR / proteins / structure calculation |
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| Outline of Final Research Achievements |
In this project, we developed new NMR protein structure calculation and signal processing methods specifically for in-cell NMR. In the signal processing, Quantitative Maximum Entropy (QME) that we recently developed dramatically improved in-cell NMR spectra, and achieved recording the first 3D NOESY spectra in an Eukaryotic cell (Sf9 cell). In the NMR structure calculation, we succeeded to implement a new structure calculation method based on Bayesian inference, which notably improved in-cell NMR structures. Furthermore, we succeeded to implement into CYANA a function to iteratively analyse PseudoContact Shift (PCS) data with structure calculation. These new methods will contribute to extend in-cell NMR structure determination to generalized technique.
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