IET Syst Biol. 2013 Oct;7(5):170-81. doi: 10.1049/iet-syb.2012.0055.
The study of gene regulatory network and protein-protein interaction network is believed to be fundamental to the understanding of molecular processes and functions in systems biology. In this study, the authors are interested in single nucleotide polymorphism (SNP) level and construct SNP-SNP interaction network to understand genetic characters and pathogenetic mechanisms of complex diseases. The authors employ existing methods to mine, model and evaluate a SNP sub-network from SNP-SNP interactions. In the study, the authors employ the two SNP datasets: Parkinson disease and coronary artery disease to demonstrate the procedure of construction and analysis of SNP-SNP interaction networks. Experimental results are reported to demonstrate the procedure of construction and analysis of such SNP-SNP interaction networks can recover some existing biological results and related disease genes.
基因调控网络和蛋白质-蛋白质相互作用网络的研究被认为是理解系统生物学中分子过程和功能的基础。在这项研究中，作者对单核苷酸多态性（SNP）水平感兴趣，并构建 SNP-SNP 相互作用网络，以了解复杂疾病的遗传特征和发病机制。作者采用现有的方法从 SNP-SNP 相互作用中挖掘、建模和评估 SNP 子网。在研究中，作者使用了两个 SNP 数据集：帕金森病和冠状动脉疾病，以演示 SNP-SNP 相互作用网络的构建和分析过程。实验结果表明，构建和分析这种 SNP-SNP 相互作用网络的过程可以恢复一些现有的生物学结果和相关疾病基因。
