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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Topology of biological networks and reliability of information processing.
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Topology of biological networks and reliability of information processing.

机译：生物网络的拓扑和信息处理的可靠性。

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摘要

Survival of living cells and organisms is largely based on highly reliable function of their regulatory networks. However, the elements of biological networks, e.g., regulatory genes in genetic networks or neurons in the nervous system, are far from being reliable dynamical elements. How can networks of unreliable elements perform reliably? We here address this question in networks of autonomous noisy elements with fluctuating timing and study the conditions for an overall system behavior being reproducible in the presence of such noise. We find a clear distinction between reliable and unreliable dynamical attractors. In the reliable case, synchrony is sustained in the network, whereas in the unreliable scenario, fluctuating timing of single elements can gradually desynchronize the system, leading to nonreproducible behavior. The likelihood of reliable dynamical attractors strongly depends on the underlying topology of a network. Comparing with the observed architectures of gene regulation networks, wefind that those 3-node subgraphs that allow for reliable dynamics are also those that are more abundant in nature, suggesting that specific topologies of regulatory networks may provide a selective advantage in evolution through their resistance against noise.
机译：活细胞和生物的生存很大程度上取决于其调节网络的高度可靠功能。然而，生物网络的要素，例如遗传网络中的调节基因或神经系统中的神经元，远非可靠的动力学要素。不可靠元素的网络如何可靠运行？在这里，我们在时序变化的自治噪声单元网络中解决了这个问题，并研究了在存在这种噪声的情况下可再现的整个系统行为的条件。我们发现可靠的和不可靠的动态吸引子之间有明显的区别。在可靠的情况下，网络中将保持同步，而在不可靠的情况下，单个元素的时序波动会逐渐使系统失去同步，从而导致行为不可再现。可靠的动态吸引子的可能性在很大程度上取决于网络的基础拓扑。与观察到的基因调控网络的体系结构相比，我们发现那些允许可靠动力学的三节点子图在本质上也更加丰富，这表明调控网络的特定拓扑结构可能通过抵制抗性而在进化中提供选择性优势。噪声。

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