1] Department of Medicine, University of California San Diego, La Jolla, California 92093, USA. [2].
Nat Rev Genet. 2013 Oct;14(10):719-32. doi: 10.1038/nrg3552.
A central goal of systems biology is to elucidate the structural and functional architecture of the cell. To this end, large and complex networks of molecular interactions are being rapidly generated for humans and model organisms. A recent focus of bioinformatics research has been to integrate these networks with each other and with diverse molecular profiles to identify sets of molecules and interactions that participate in a common biological function - that is, 'modules'. Here, we classify such integrative approaches into four broad categories, describe their bioinformatic principles and review their applications.
系统生物学的一个核心目标是阐明细胞的结构和功能架构。为此，正在为人类和模式生物快速生成大型和复杂的分子相互作用网络。生物信息学研究的一个最近重点是将这些网络彼此集成，并与各种分子谱集成，以识别参与共同生物学功能的分子和相互作用集 - 即“模块”。在这里，我们将这些综合方法分为四大类，描述它们的生物信息学原理，并回顾它们的应用。
