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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >A natural class of robust networks.
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A natural class of robust networks.

机译：健全网络的自然分类。

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摘要

As biological studies shift from molecular description to system analysis we need to identify the design principles of large intracellular networks. In particular, without knowing the molecular details, we want to determine how cells reliably perform essential intracellular tasks. Recent analyses of signaling pathways and regulatory transcription networks have revealed a common network architecture, termed scale-free topology. Although the structural properties of such networks have been thoroughly studied, their dynamical properties remain largely unexplored. We present a prototype for the study of dynamical systems to predict the functional robustness of intracellular networks against variations of their internal parameters. We demonstrate that the dynamical robustness of these complex networks is a direct consequence of their scale-free topology. By contrast, networks with homogeneous random topologies require fine-tuning of their internal parameters to sustain stable dynamical activity. Consideringthe ubiquity of scale-free networks in nature, we hypothesize that this topology is not only the result of aggregation processes such as preferential attachment; it may also be the result of evolutionary selective processes.
机译：随着生物学研究从分子描述转向系统分析，我们需要确定大型细胞内网络的设计原理。特别是，在不了解分子细节的情况下，我们想确定细胞如何可靠地执行基本的细胞内任务。最近对信号通路和调控转录网络的分析揭示了一种通用的网络架构，称为无标度拓扑。尽管已经对此类网络的结构特性进行了深入研究，但它们的动力学特性仍未得到充分探索。我们提出了动力系统研究的原型，以预测细胞内网络针对其内部参数的变化的功能鲁棒性。我们证明了这些复杂网络的动态鲁棒性是其无标度拓扑的直接结果。相反，具有均质随机拓扑的网络需要对其内部参数进行微调，以维持稳定的动态活动。考虑到自然界中无标度网络的普遍性，我们假设这种拓扑结构不仅是诸如优先连接之类的聚合过程的结果，而且还存在于网络中。这也可能是进化选择过程的结果。

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