细菌趋化网络与最优过滤的关系
A connection between bacterial chemotactic network and optimal filtering
摘要：
大肠杆菌的趋化网络已经在生物药理学和信息理论上得到了广泛的研究。然而，这两个方面之间的联系仍然难以捉摸。在这项工作中，我们报告这样的连接表明，一个标准的生化模型的趋化网络在数学上相当于一个信息理论上的最佳过滤动力学。此外，我们证明了实验观察到的非线性响应关系可以从最佳动态再现。这些结果表明，E.大肠杆菌趋化性被设计为在噪声条件下最佳地提取梯度信息。
英文摘要：
The chemotactic network of Escherichia coli has been studied extensively both biophysically and information-theoretically. Nevertheless, the connection between these two aspects is still elusive. In this work, we report such a connection by showing that a standard biochemical model of the chemotactic network is mathematically equivalent to an information-theoretically optimal filtering dynamics. Moreover, we demonstrate that an experimentally observed nonlinear response relation can be reproduced from the optimal dynamics. These results suggest that the biochemical network of E. coli chemotaxis is designed to optimally extract gradient information in a noisy condition.
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