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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自身稳态控制的延迟而表现出时间振荡。关于这些系统的一个相关问题是,振荡区域是一个罕见的特征,还是与相当大的参数空间相对应。答案并不简单,主要是因为大量参数控制着描述网络的速率方程。基于蒙特卡罗算法,我们开发了一种有效的参数空间采样方案,并将其应用于以8维参数空间为特征的两节点时滞系统。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,并且它弱地依赖于延迟的持续时间。控制振荡的最关键参数是耦合生产率,它必须具有相反的符号,从而产生负反馈回路。除了两个物种之间的平衡常数外,振荡区域是相互连接的,不允许沿该参数进行中性演化。

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