2010 Fiscal Year Final Research Report
Mathematical modeling of transcriptional regulatory networks based on bipartite graphs.
Project/Area Number |
21700327
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Bioinformatics/Life informatics
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Research Institution | Future University-Hakodate |
Principal Investigator |
JOSE Nacher Future University-Hakodate, システム情報科学部, 准教授 (60452984)
|
Project Period (FY) |
2009 – 2010
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Keywords | 生体生命システム情報学 / 複雑ネットワーク科学 / 数理モデル / データ分析 |
Research Abstract |
We construct the ncRNA-protein interaction network and analyze its large-scale organization as well as the local interaction structure. In addition, an evolutionary model for bipartite graphs that includes several biological mechanisms is presented. We also investigate the distribution of molecular functionalities in these networks by using optimization algorithms. Our findings show that both transcriptional and ncRNA-interactions exhibit characteristic couplings between network and functionality that deviate from random expectations, supporting growing evidences for a ncRNA regulatory capability.
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