| Project/Area Number |
19700276
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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 |
Bioinformatics/Life informatics
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| Research Institution | Kyushu University |
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Principal Investigator |
HIRAKAWA Hideki Kyushu University, 植物ゲノム研究部, 研究員 (80372746)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥540,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2007: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | メタゲノム解析 / 加水分解酵素 / 配列解析 / 酵素化学 / タンパク質立体構造 |
|---|
| Research Abstract |
The enzymes related to hydrolyze the bacterial peptidoglycan were explored from the genes sequenced by metagenome projects and were classified into the five groups defined by their catalytic sites in peptidoglycan. Among the five groups, the genes related to endopeptidase were most frequently found in the metagenomic data. We estimated that the three-dimensional structure and binding sites of about 2,500 proteins could be predicted. Furthermore, to predict the binding site precisely, the binding simulations between peptidoglycan were performed for lyzozyme and ALE-1, one of the endopeptidase. As results, twenty-four and thirteen amino acid residues were predicted to be interacted with the peptidoglycan in lysozyme and ALE-1, respectively. The protein functions and binding sites could be predicted by using the domain and structural information obtained from metagenomic data. In the future, we would construct the analysis system which could perform these analyses to design highly efficient enzymes.
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