| Project/Area Number |
18310139
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Applied genomics
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| Research Institution | Kitasato University |
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Principal Investigator |
UMEYAMA Hideaki Kitasato University, School of Pharmacy, Professor (20050619)
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| Co-Investigator(Kenkyū-buntansha) |
TAKEDA Mayuko (SHITAKA, Mayuko) Kitasato University, School of Pharmacy, Associate Professor (70265718)
IWADATE Mitsuo Kitasato University, School of Pharmacy, Senior Assistant Professor (10327447)
TERASHI Genki Kitasato University, School of Pharmacy, Assistant Professor (40383658)
KANOU Kazuhiko Kitasato University, School of Pharmacy, Assistant Professor (00383654)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥5,000,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥300,000)
Fiscal Year 2007: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2006: ¥3,700,000 (Direct Cost: ¥3,700,000)
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| Keywords | Protein / Database / Rat / Mouse / FAMS / CASP / CAPRI / Complex / Structure Prediction / Interaction / Critical Assessment / Protein |
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| Research Abstract |
In the first, we improved the performance of our Full Automatic Modeling System (FAMS) and Full Automatic Modeling System for protein complex (FAMS Complex). These modeling systems made it possible to predict accurate three-dimensional protein structures. The FAMS showed successful performance for prediction of protein three-dimensional structures in 7th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP7), which assessed the accuracy of modeling methods. Moreover the FAMS Complex performed well in Community wide experiment on the comparative evaluation of protein-protein docking for structure prediction (CAPRI).
Secondarily, we developed the evaluation systems which evaluate quality of predicted protein structures and pairwise-alignments of amino acid sequences. These methods provide information of confidence of predicted models.
Finally, we constructed huge protein structure modeling database of Rat and Mouse genes, and released as RIKEN FAMSBASE (http://famshelp.gsc.riken.jp/famsbase/) to the public. In the RIKEN FAMSBASE, any researchers can search three-dimensional protein structure models of Rat and Mouse genes from amino acid sequence, a Gene Name, and keywords.
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