项目名称: 基于生物分子组与药理组的多层次疾病网络共模块性关联关系分析研究
项目编号: No.61202175
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 计算机科学学科
项目作者: 孙鹏岗
作者单位: 西安电子科技大学
项目金额: 26万元
中文摘要: "生物分子相互作用网络"结构与功能的分析可以帮助认识疾病的分子机制和药理作用机制,从而促使网络生物学与网络药理学的诞生。"网络靶标"概念的提出成为连接两者的纽带。目前该研究的生物分子大多聚焦在蛋白质上,但是RNA的作用不容忽视,特别是非编码RNA,如miRNA,它对很多生命过程具有重要的调节功能。因此本项目利用异质生物分子(RNA-RNA,RNA-protein,protein-protein)间的相互作用关系和药理方剂各组分间的相互关系构建一个三层的横跨生物分子系统、疾病系统、药理系统的疾病网络模型。研究该网络上"共模块性"分析的算法,基于识别出来的"共模块"结合先验知识预测新的致病生物分子和药物靶标,并进一步研究病症与方剂的作用机制,发现药效物质,阐释方剂的配伍规律,同时进行药理方剂各组分协同作用关系分析,为组方用药的理性设计提供依据。最后开发网络可视化软件分析平台。
中文关键词: 药物-疾病-基因网络;可控性;模块性;;
英文摘要: The structures and function analysis of biomolecules network can help us understand the molecular and pharmacological mechanism of disease which leads to the emergency of network biology and network pharmacology. "Network Targets" becomes the bridges between them. However, the current research only focuses on the protein-protein interaction network, the effect of RNAs is very important, such as non-coding RNAs, miRNAs have the great function of accommodation for live procedures. Therefore, this project uses heterogeneous biomolecules (RNA-RNA,RNA-protein,protein-protein) interaction data and herbal compounds interaction data to construct a three level disease network that stretches across biomolecules, disease and pharmacology. In addition, we study the algorithms of co-modularity for this network's partition. We predict new disease genes, RNAs and drug targets based on co-modules and study the mechanism of mutual interactions between disease phenotypes and herbal formulae, discover the effective compounds and their combinations,and develop rational drug designs. Finally, we exploit the visual software platform for the network analysis.
英文关键词: drug-disease-gene network;controllability;modularity;;