| Project/Area Number |
25330351
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | Toho University |
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Principal Investigator |
JOSE Nacher 東邦大学, 理学部, 教授 (60452984)
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| Project Period (FY) |
2013-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | ネットワーク制御性 / 支配集合 / 情報解析 / タンパク質ネットワーク / 代謝ネットワーク / 数理モデル / 複雑ネットワーク / 生物情報ネットワーク / 制御理論 / 構造的な制御問題 / タンパク質相互作用ネットワーク / ncRNA-タンパク質相互作用 / ncRNA-たんぱく質相互作用 / たんぱく質相互作用ネットワーク / 複雑生物情報ネットワーク / 制御性 / ニューラルネットワーク解析 |
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| Outline of Final Research Achievements |
Network controllability combines control theory concepts with network science in order to control large-scale systems. In this research, we have developed new fast algorithms and mathematical tools to investigate controllabiity in real biological networks.
By using a minimum dominating set (MDS)-based model, which is also suitable for non-linear systems, together with efficient graph reduction techniques, mathematical theorems and theoretical mean-field theory approaches, we could identify a small set of critical driver nodes (genes or proteins) which can control the entire protein network. Remarkably, statistical analysis showed that the identified driver sets tend to be associated to important biological functions and human diseases.
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