Université Joseph Fourier de Grenoble, AGIM, CNRS FRE 3405, 38700 La Tronche, France.
J Theor Biol. 2011 Jul 7;280(1):19-33. doi: 10.1016/j.jtbi.2011.03.023. Epub 2011 Mar 29.
This paper proposes a study of biological regulation networks based on a multi-level strategy. Given a network, the first structural level of this strategy consists in analysing the architecture of the network interactions in order to describe it. The second dynamical level consists in relating the patterns found in the architecture to the possible dynamical behaviours of the network. It is known that circuits are the patterns that play the most important part in the dynamics of a network in the sense that they are responsible for the diversity of its asymptotic behaviours. Here, we pursue further this idea and argue that beyond the influence of underlying circuits, intersections of circuits also impact significantly on the dynamics of a network and thus need to be payed special attention to. For some genetic regulation networks involved in the control of the immune system ("immunetworks"), we show that the small number of attractors can be explained by the presence, in the underlying structures of these networks, of intersecting circuits that "inter-lock".
本文提出了一种基于多层次策略的生物调节网络研究。给定一个网络，该策略的第一个结构层次包括分析网络相互作用的结构，以便对其进行描述。第二个动态层次包括将在结构中找到的模式与网络可能的动态行为相关联。众所周知，电路是在网络动力学中起着最重要作用的模式，因为它们负责网络的各种渐近行为。在这里，我们进一步探讨了这一观点，并认为除了基础电路的影响之外，电路的交点也对网络的动力学产生了重大影响，因此需要特别注意。对于一些涉及免疫系统控制的遗传调节网络（“免疫网络”），我们表明，存在于这些网络的基础结构中的“互锁”相交电路解释了吸引子的数量很少。
