In contrast to bioreactors the metabolites within the microbial cells are converted in an impure atmosphere, yet the productivity seems to be well regulated and not affected by changes in operation variables. These features are attributed to integral metabolic network within the microorganism. With the advent of neo-integrative proteomic approaches the understanding of integration of metabolic and protein-protein interaction networks have began. In this article we review the methods employed to determine the protein-protein interaction and their integration to define metabolite networks. We further present a review of current understanding of network properties, and benefit of studying the networks. The predictions using network structure, for example, in silico experiments help illustrate the importance of studying the network properties. The cells are regarded as complex system but their elements unlike complex systems interact selectively and nonlinearly to produce coherent rather than complex behaviors.

中文翻译：

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微生物系统的代谢网络。

与生物反应器相反，微生物细胞内的代谢产物在不纯净的气氛中转化，但生产率似乎得到了很好的调节，不受操作变量变化的影响。这些特征归因于微生物内的整体代谢网络。随着新整合蛋白质组学方法的出现，对代谢和蛋白质-蛋白质相互作用网络整合的认识已经开始。在本文中，我们回顾了用于确定蛋白质间相互作用及其整合以定义代谢物网络的方法。我们将进一步介绍当前对网络属性的理解以及研究网络的好处。使用网络结构进行的预测（例如计算机模拟实验）有助于说明研究网络属性的重要性。