Protein structural data mining based on the Neighborhood Fragment Spectra representation
| Project/Area Number |
22500130
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Toyohashi University of Technology |
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Principal Investigator |
KATO Hiroaki 豊橋技術科学大学, 大学院・工学研究科, 講師 (30303704)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 分子構造情報処理 / 三次元構造類似性 / タンパク質構造分類 / データマイニング / 分子生命情報学 / 分子構造データベース / タンパク質モチーフ / 近傍フラグメント / タンパク質立体構造 / 分子グラフ / 構造活性相関 / 近傍フラグメントスペクトル |
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| Research Abstract |
In the present work, the author has proposed the Neighborhood Fragment Spectra (NFS) method to describe structural feature of a given molecule. It has applied for sequenceand structural similarity analysis of proteins using the reduced represe ntation of complex and large protein structures. The developed method including an automated classification of quaternary structures is one of the key technologies for protein structural data mining.
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Report
(4 results)
Research Products
(15 results)
