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How likely are oscillations in a genetic feedback loop with delay?

机译:遗传反馈循环中的振荡有多大可能是有多大的?

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Some genetic control networks display temporal oscillations as a result of delays in their homeostatic control. A relevant question about these systems is whether the oscillating regime is a rare feature, or it corresponds to a sizeable volume of the space of parameters. The answer is not trivial mainly due to the large number of parameters controlling the rate equations which describe the network. We have developed an efficient sampling scheme of the parameter space, based on a Monte Carlo algorithm, and applied it to a two-node system with delay, characterised by a 8-dimension parameter space. The result is that the volume fraction of the parameter space associated with oscillations is small but not negligible, and it is weakly dependent on the duration of the delay. The most critical parameter to control oscillations is the coupling production rates, which must have opposite sign, giving rise to a negative feedback loop. The oscillating regions are connected except along the equilibrium constants between the two species, not allowing neutral evolution along this parameter.
机译:一些遗传控制网络由于其稳态控制的延迟而显示时间振荡。关于这些系统的相关问题是振荡制度是罕见的特征,或者它对应于参数空间的相当量。答案并不琐碎主要是由于控制了描述网络的速率方程的大量参数。我们已经开发了基于蒙特卡罗算法的参数空间的有效采样方案,并将其应用于具有延迟的两个节点系统,其特征在于8维参数空间。结果是与振荡相关的参数空间的体积分数很小但不可忽略不可忽视,并且略微取决于延迟的持续时间。控制振荡的最关键参数是耦合生产率,必须具有相反的符号,从而产生负反馈回路。除了沿着两个物种之间的平衡常数,振荡区域连接,不允许沿着该参数的中性演变。

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