Karlebach Guy, Shamir Ron
The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
Nat Rev Mol Cell Biol. 2008 Oct;9(10):770-80. doi: 10.1038/nrm2503. Epub 2008 Sep 17.
Gene regulatory networks have an important role in every process of life, including cell differentiation, metabolism, the cell cycle and signal transduction. By understanding the dynamics of these networks we can shed light on the mechanisms of diseases that occur when these cellular processes are dysregulated. Accurate prediction of the behaviour of regulatory networks will also speed up biotechnological projects, as such predictions are quicker and cheaper than lab experiments. Computational methods, both for supporting the development of network models and for the analysis of their functionality, have already proved to be a valuable research tool.
基因调控网络在生命的每个过程中都发挥着重要作用,包括细胞分化、新陈代谢、细胞周期和信号转导。通过了解这些网络的动态变化,我们能够阐明当这些细胞过程失调时所发生疾病的机制。准确预测调控网络的行为也将加速生物技术项目,因为此类预测比实验室实验更快且更便宜。无论是用于支持网络模型的开发还是用于分析其功能的计算方法,都已被证明是一种有价值的研究工具。