A protein structure prediction study focusing on physico-chemical properties of local sequences.
| Project/Area Number |
20770120
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Biophysics
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| Research Institution | Nagoya University |
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Principal Investigator |
CHIKENJI George Nagoya University, 大学院・工学研究科, 助教 (10420366)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
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| Keywords | タンパク質 / 立体構造予測 / フラグメントアセンブリ法 / 水素結合 / フォールディング / アロステリック |
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| Research Abstract |
In order to understand principle of protein structure and improve protein structure prediction accuracy, we have developed a De Novo protein structure prediction method focusing on physico-chemical properties of local sequence. Especially, a new implicit solvent model called "ghost water model" has been developed for the purpose of evaluating energies of local structures. We performed large scale structure prediction benchmark test and found that local structures of the native are generally stable even if these are excised from a entire structure.
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Report
(3 results)
Research Products
(12 results)
