Petrovskaya Olga V, Petrovskiy Evgeny D, Lavrik Inna N, Ivanisenko Vladimir A
* The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia.
† Otto von Guericke University Magdeburg, Medical Faculty, Department Translational Inflammation Research, Pfälzer Platz Building 28, Magdeburg, 39106, Germany.
J Bioinform Comput Biol. 2017 Apr;15(2):1650045. doi: 10.1142/S0219720016500451. Epub 2016 Dec 22.
Gene network modeling is one of the widely used approaches in systems biology. It allows for the study of complex genetic systems function, including so-called mosaic gene networks, which consist of functionally interacting subnetworks. We conducted a study of a mosaic gene networks modeling method based on integration of models of gene subnetworks by linear control functionals. An automatic modeling of 10,000 synthetic mosaic gene regulatory networks was carried out using computer experiments on gene knockdowns/knockouts. Structural analysis of graphs of generated mosaic gene regulatory networks has revealed that the most important factor for building accurate integrated mathematical models, among those analyzed in the study, is data on expression of genes corresponding to the vertices with high properties of centrality.
基因网络建模是系统生物学中广泛使用的方法之一。它允许对复杂的遗传系统功能进行研究，包括所谓的镶嵌基因网络，其由功能上相互作用的子网络组成。我们基于线性控制泛函对基因子网络模型进行整合，开展了一项关于镶嵌基因网络建模方法的研究。利用基因敲低/敲除的计算机实验，对10000个合成镶嵌基因调控网络进行了自动建模。对所生成的镶嵌基因调控网络的图结构分析表明，在本研究分析的因素中，构建准确的整合数学模型的最重要因素是与具有高度中心性的顶点相对应的基因表达数据。
Zotero 插件