Ho Joshua W K, Charleston Michael A
School of Information Technologies, The University of Sydney, Sydney, NSW, 2006, Australia.
Centre for Mathematical Biology, The University of Sydney, Sydney, NSW, 2006, Australia.
Biophys Rev. 2011 Mar;3(1):1-13. doi: 10.1007/s12551-010-0041-4. Epub 2010 Dec 23.
Gene regulatory network (GRN) modelling has gained increasing attention in the past decade. Many computational modelling techniques have been proposed to facilitate the inference and analysis of GRN. However, there is often confusion about the aim of GRN modelling, and how a gene network model can be fully utilised as a tool for systems biology. The aim of the present article is to provide an overview of this rapidly expanding subject. In particular, we review some fundamental concepts of systems biology and discuss the role of network modelling in understanding complex biological systems. Several commonly used network modelling paradigms are surveyed with emphasis on their practical use in systems biology research.
在过去十年中，基因调控网络（GRN）建模受到了越来越多的关注。人们提出了许多计算建模技术来促进基因调控网络的推断和分析。然而，对于基因调控网络建模的目标以及基因网络模型如何能够作为系统生物学的工具被充分利用，人们常常感到困惑。本文的目的是对这个迅速发展的主题进行概述。特别是，我们回顾了系统生物学的一些基本概念，并讨论了网络建模在理解复杂生物系统中的作用。我们对几种常用的网络建模范式进行了综述，重点介绍了它们在系统生物学研究中的实际应用。
