难以控制与生物启发布尔网络的不稳定性有关

Bryan C. Daniels, Enrico Borriello
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引用次数: 0

摘要

以往在布尔动力学网络方面的研究表明,选择现有吸引子所需控制的部件数量通常取决于动力学所接纳的吸引子数量,而与网络的大小无关。在这里,我们研究了网络中违背这一预期的罕见情况,即吸引子需要控制大多数节点。我们通过经验发现,不稳定的固定点是证明更难控制的网络的主要重复特征。我们描述了一种识别不稳定定点的有效方法,并表明在现有的生物模型和随机动力学集合中,我们可以通过纳入不稳定定点的普遍性来更好地解释控制核大小的方差。这些例外情况很可能与生物相关,支持了生物网络中易控性的普遍性。
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Difficult control is related to instability in biologically inspired Boolean networks
Previous work in Boolean dynamical networks has suggested that the number of components that must be controlled to select an existing attractor is typically set by the number of attractors admitted by the dynamics, with no dependence on the size of the network. Here we study the rare cases of networks that defy this expectation, with attractors that require controlling most nodes. We find empirically that unstable fixed points are the primary recurring characteristic of networks that prove more difficult to control. We describe an efficient way to identify unstable fixed points and show that, in both existing biological models and ensembles of random dynamics, we can better explain the variance of control kernel sizes by incorporating the prevalence of unstable fixed points. In the end, the fact that these exceptions are associated with dynamics that are unstable to small perturbations hints that they are likely an artifact of using deterministic models. These exceptions are likely to be biologically irrelevant, supporting the generality of easy controllability in biological networks.
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