Integrative modeling of genetic interactions based on intertwined multi-level networks

基于交织多级网络的遗传相互作用综合建模

• 批准号: 23710233
• 负责人: TAKIGAWA Ichigaku
• 金额: $ 2.83万
• 依托单位: Hokkaido University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2011
• 资助国家: 日本
• 起止时间: 2011 至 2013
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23710233/
• 关键词: 多階層ネットワーク; 分子間相互作用; 遺伝子; 発現制御; 分子ネットワーク; 遺伝子間相互作用; グラフマイニング; 分子間ネットワーク; 機械学習; モデル化

Genes had been considered to be factors that can be analyzed individually, and their effect on functions and phenotypes can be modeled linearly. However, now they are rather considered as non-linearly interacting entities to other genes and other types of biomolecules whose roles and control would be more complicated and context-dependent than we thought. This research regards genes as building blocks of intertwined multi-level networks of various biomolecules, and develops computational methods for integratively analyzing behaviors thorough the networks and for relating quantitative measurements of individual building blocks to the known structures of corresponding networks. Recent studies are producing large data such as transcriptomes, metabolomes, proteomes, and fluxomes, and many databases on biological networks are being developed. The integrative computational approaches thus need to be established to leverage these rich data on various networks and their constituents.

基因被认为是可以单独分析的因素，它们对功能和表型的影响可以线性建模。然而，现在它们被认为是与其他基因和其他类型的生物分子的非线性相互作用实体，其作用和控制比我们想象的更复杂和依赖于上下文。本研究将基因视为各种生物分子相互交织的多级网络的构建块，并开发了用于通过网络综合分析行为以及将单个构建块的定量测量与相应网络的已知结构相关联的计算方法。最近的研究正在产生大量的数据，如转录组，代谢组，蛋白质组和通量组，许多生物网络数据库正在开发中。因此，需要建立综合计算方法，以利用各种网络及其组成部分的丰富数据。

项目成果

Identifying paired substructures significantly shared among interacting structure pairs

识别相互作用的结构对之间显着共享的配对子结构

• 发表时间: 2013
• 作者: Susumu Yoshizawa;Yohei Kumagai;Hana Kim;Yoshitoshi Ogura;Tetsuya Hayashi;Wataru Iwasaki;Edward F. DeLong;and Kazuhiro Kogure.;日野信次朗;Takigawa I
• 通讯作者: Takigawa I

Learning sparse linear models over subgraph indicators

通过子图指标学习稀疏线性模型

• 发表时间: 2012
• 作者: Ariyoshi;K. and Y. Kaneda;Takigawa I
• 通讯作者: Takigawa I

Finding structural patterns shared among interacting molecules

寻找相互作用分子之间共享的结构模式

• 发表时间: 2013
• 作者: Takigawa I

SiBIC

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