Zuse Institute Berlin, Berlin, Germany.
Department of Mathematics and Computer Science, Freie Universität, Berlin, Germany.
Bull Math Biol. 2021 Nov 2;83(12):121. doi: 10.1007/s11538-021-00942-z.
Boolean delay equations (BDEs), with their relatively simple and intuitive mode of modelling, have been used in many research areas including, for example, climate dynamics and earthquake propagation. Their application to biological systems has been scarce and limited to the molecular level. Here, we derive and present two BDE models. One is directly derived from a previously published ordinary differential equation (ODE) model for the bovine estrous cycle, whereas the second model includes a modification of a particular biological mechanism. We not only compare the simulation results from the BDE models with the trajectories of the ODE model, but also validate the BDE models with two additional numerical experiments. One experiment induces a switch in the oscillatory pattern upon changes in the model parameters, and the other simulates the administration of a hormone that is known to shift the estrous cycle in time. The models presented here are the first BDE models for hormonal oscillators, and the first BDE models for drug administration. Even though automatic parameter estimation still remains challenging, our results support the role of BDEs as a framework for the systematic modelling of complex biological oscillators.
布尔延迟方程(BDE)具有相对简单和直观的建模模式,已被应用于许多研究领域,例如气候动力学和地震传播。它们在生物系统中的应用很少,仅限于分子水平。在这里,我们推导出并呈现了两个 BDE 模型。一个模型是直接从先前发表的牛发情周期的常微分方程(ODE)模型中推导出来的,而第二个模型包括对特定生物学机制的修改。我们不仅将 BDE 模型的模拟结果与 ODE 模型的轨迹进行了比较,还使用另外两个数值实验对 BDE 模型进行了验证。一个实验在模型参数变化时诱导振荡模式的切换,另一个实验模拟了已知会改变发情周期时间的激素给药。本文提出的模型是激素振荡器的第一个 BDE 模型,也是药物给药的第一个 BDE 模型。尽管自动参数估计仍然具有挑战性,但我们的结果支持 BDE 作为系统建模复杂生物振荡器的框架的作用。