Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, 173234, Solan, HP, India.
Sci Rep. 2018 Jul 6;8(1):10238. doi: 10.1038/s41598-018-28577-6.
Understanding the general principles governing the functioning of biological networks is a major challenge of the current era. Functionality of biological networks can be observed from drug and target interaction perspective. All possible modes of operations of biological networks are confined by the interaction analysis. Several of the existing approaches in this direction, however, are data-driven and thus lack potential to be generalized and extrapolated to different species. In this paper, we demonstrate a systems pharmacology pipeline and discuss how the network theory, along with gene ontology (GO) analysis, co-expression analysis, module re-construction, pathway mapping and structure level analysis can be used to decipher important properties of biological networks with the aim to propose lead molecule for the therapeutic interventions of various diseases.
理解生物网络功能的一般原则是当前时代的主要挑战。从药物和靶点相互作用的角度可以观察到生物网络的功能。生物网络的所有可能操作模式都受到相互作用分析的限制。然而，目前在这一方向上的几种方法都是基于数据驱动的，因此缺乏被推广并外推到不同物种的潜力。在本文中，我们展示了一个系统药理学管道，并讨论了网络理论如何与基因本体（GO）分析、共表达分析、模块重建、途径映射和结构水平分析一起用于破译生物网络的重要性质，旨在为各种疾病的治疗干预提出先导分子。
