RNA-protein interaction prediction based on formal grammars
| Project/Area Number |
20800023
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| Research Category |
Grant-in-Aid for Young Scientists (Start-up)
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| Allocation Type | Single-year Grants |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | Kyoto University |
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Principal Investigator |
KATO Yuki Kyoto University, 化学研究所, 研究員(科学研究) (10511280)
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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 |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2009: ¥1,352,000 (Direct Cost: ¥1,040,000、Indirect Cost: ¥312,000)
Fiscal Year 2008: ¥1,508,000 (Direct Cost: ¥1,160,000、Indirect Cost: ¥348,000)
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| Keywords | RNA2次構造 / RNA-RNA相互作用 / 形式文法 / タンパク質2次構造 / βシート / 動的計画法 / RNA-タンパク質相互作用 / RNAタンパク質相互作用 / 多重文脈自由文法 |
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| Research Abstract |
In this study, we first performed RNA-RNA interaction prediction using formal grammars. We then modeled protein secondary structures and developed a fast algorithm for secondary structure prediction given protein sequences. Furthermore, we presented an efficient algorithm for binding site prediction in RNA sequences, based on binding profiles. All of these methods were validated on real biological data and achieved good prediction accuracy at least comparable to that of earlier methods.
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Report
(3 results)
Research Products
(24 results)
