Current approaches to gene regulatory network modelling.
Current approaches to gene regulatory network modelling.
复制标题
基因调控网络建模的当前方法。
DOI：
10.1186/1471-2105-8-s6-s9
复制
发表时间：
2007-09-27
影响因子：
3
通讯作者：
Brazma, Alvis
中科院分区：
文献类型：
--
作者：
Schlitt, Thomas;Brazma, Alvis
已经开发了许多不同的方法来建模和模拟基因调控网络。我们提出了以下几类基因调控网络模型：网络部件列表，网络拓扑模型，网络控制逻辑模型和动态模型。在这里，我们将描述这些类别中的每一个的一些例子。我们将更详细地研究酵母中基因调控网络的拓扑结构，比较来自转录因子结合数据的直接网络和来自突变体全基因组表达数据的间接网络。关于网络动力学，我们简要介绍了离散和连续的方法来网络建模，然后描述了一个混合模型称为有限状态线性模型，并证明了一些简单的网络动力学可以在这个模型中模拟。
Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these categories. We will study the topology of gene regulatory networks in yeast in more detail, comparing a direct network derived from transcription factor binding data and an indirect network derived from genome-wide expression data in mutants. Regarding the network dynamics we briefly describe discrete and continuous approaches to network modelling, then describe a hybrid model called Finite State Linear Model and demonstrate that some simple network dynamics can be simulated in this model.