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首页> 外文期刊>Briefings in functional genomics >Studying protein-protein interaction networks: A systems view on diseases
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Studying protein-protein interaction networks: A systems view on diseases

机译:研究蛋白质-蛋白质相互作用网络:疾病的系统观点

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摘要

In order to better understand several cellular processes, it is helpful to study how various components make up the system. This systems perspective is supported by several modelling tools including network analysis. Networks of protein-protein interactions (PPI networks) offer a way to depict, visualize and quantify the functioning and relative importance of particular proteins in cell function. The toolkit of network analysis ranges from the local indices describing individual proteins (as network nodes) to global indicators of system architecture, describing the total interaction system (as the whole network). We briefly introduce some of these network indices and present a case study where the connectedness and potential functional relationships between certain disease proteins are inferred. We argue that network analysis can be used, in general, to improve databases, to infer novel functions, to quantify positional importance and to support predictions in pathogenesis studies. The systems perspective and network analysis can be of particular importance in studying diseases with complex molecular processes.
机译:为了更好地理解几个细胞过程,研究各种组件如何组成系统是有帮助的。包括网络分析在内的多种建模工具为该系统提供了支持。蛋白质-蛋白质相互作用网络(PPI网络)提供了一种描绘,可视化和量化特定蛋白质在细胞功能中的功能和相对重要性的方法。网络分析工具包的范围从描述单个蛋白质(作为网络节点)的局部索引到描述整个交互系统(作为整个网络)的系统体系结构的全局指标。我们简要介绍了其中一些网络指标,并提供了一个案例研究,其中可以推断某些疾病蛋白之间的联系和潜在功能关系。我们认为,一般而言,网络分析可用于改善数据库,推断新功能,量化位置重要性以及支持发病机理研究中的预测。系统的观点和网络分析对于研究具有复杂分子过程的疾病尤其重要。

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