タンパク質天然変性領域の分類と機能予測
Publicly Offered Research
| Project Area | Target recognition and expression mechanism of intrinsically disordered protein |
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| Project/Area Number |
24113704
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Biological Sciences
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| Research Institution | The University of Tokyo |
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Principal Investigator |
PATIL Ashwini (Patil Ashwini) 東京大学, 医科学研究所, 助教 (30572193)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 生体生命情報学 / プロテオーム / 生物物理 / 蛋白質 / 国際情報交換 |
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| Research Abstract |
In this study, a novel classification scheme was defined for intrinsically disordered regions using their chemical composition. It was shown that the functions of proteins containing intrinsically disordered regions are related, at least in part, with the chemical nature of the disordered regions.
Since the chemical composition of disordered regions by itself was found to be insufficient as a predictor of protein function, several possible sequence features of disordered regions were identified. These sequence features included information about the amino acid composition, chemical composition, amino acid pair frequencies and features associated with predicted secondary structure of the intrinsically disordered region. These sequence features were extracted from disordered regions within proteins and were rigorously tested for their ability to predict protein function.
The study showed that sequence features from intrinsically disordered regions can be used to predict protein function with a combination of features performing better than single ones. Additionally, different combinations of features perform best for the prediction of different functional terms. Further investigation needs to be performed to identify the best combinations of sequence features from disordered regions that are good predictors of protein function. The study also highlighted the inadequate nature of the current functional annotation schemes, specifically Gene Ontology terms, and their inability to capture the various functions of intrinsically disordered regions.
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| Current Status of Research Progress |
Reason
25年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
25年度が最終年度であるため、記入しない。
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Report
(2 results)
Research Products
(5 results)
