Robustness in simple biochemical networks
Robustness in simple biochemical networks
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DOI：
10.1038/43199
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发表时间：
1997-06-26
期刊：
影响因子：
64.8
通讯作者：
Leibler, S
中科院分区：
文献类型：
--
作者：
Barkai, N;Leibler, S
细胞使用相互作用的分子组件的复杂网络来传递和处理信息，这些“活细胞的计算设备”（1）负责许多重要的细胞过程，包括细胞周期调节和信号转导。在这里，我们解决的问题的敏感性网络的变化，在他们的生化参数，我们提出了一种机制，在简单的信号转导网络的强大的适应。我们表明，这种机制特别适用于细菌的趋化性（2-7）。这在一个定量模型中得到了证明，该模型以统一的方式解释了趋化性的许多方面，包括对化学梯度的适当反应（8-12）。自适应特性（10，13 -16）是网络连通性的结果，不需要对参数进行“微调”。我们认为，生化网络的关键属性应该是强大的，以确保其正常运作。
Cells use complex networks of interacting molecular components to transfer and process information, These ''computational devices of living cells''(1) are responsible for many important cellular processes, including cell-cycle regulation and signal transduction. Here we address the issue of the sensitivity of the networks to variations in their biochemical parameters, We propose a mechanism for robust adaptation in simple signal transduction networks. We show that this mechanism applies in particular to bacterial chemotaxis(2-7). This is demonstrated within a quantitative model which explains, in a unified way, many aspects of chemotaxis, including proper responses to chemical gradients(8-12). The adaptation property(10,13-16) is a consequence of the network's connectivity and does not require the 'fine-tuning' of parameters. We argue that the key properties of biochemical networks should be robust in order to ensure their proper functioning.