Department of Mathematics, University of Nevada, Reno, NV, USA.
Department of Mathematical Sciences, Montana State University, Bozeman, MT, USA.
Bull Math Biol. 2022 Jul 13;84(8):89. doi: 10.1007/s11538-022-01035-1.
A gene regulatory network summarizes the interactions between a set of genes and regulatory gene products. These interactions include transcriptional regulation, protein activity regulation, and regulation of the transport of proteins between cellular compartments. DSGRN is a network modeling approach that builds on traditions of discrete-time Boolean models and continuous-time switching system models. When all interactions are transcriptional, DSGRN uses a combinatorial approximation to describe the entire range of dynamics that is compatible with network structure. Here we present an extension of the DGSRN approach to transport regulation across a boundary between compartments, such as a cellular membrane. We illustrate our approach by searching a model of the p53-Mdm2 network for the potential to admit two experimentally observed distinct stable periodic cycles.
基因调控网络总结了一组基因和调控基因产物之间的相互作用。这些相互作用包括转录调控、蛋白质活性调控以及蛋白质在细胞区室之间运输的调控。DSGRN 是一种网络建模方法,它建立在离散时间布尔模型和连续时间切换系统模型的传统基础上。当所有相互作用都是转录时,DSGRN 使用组合逼近来描述与网络结构兼容的整个动力学范围。在这里,我们将 DSGRN 方法扩展到跨越细胞区室之间边界(如细胞膜)的运输调节。我们通过在 p53-Mdm2 网络模型中搜索,展示了我们的方法,以寻找可能存在两种实验观察到的不同稳定周期的潜力。