论文标题
静态和动态绝对浓度鲁棒性的反应网络基序
Reaction Network Motifs for Static and Dynamic Absolute Concentration Robustness
论文作者
论文摘要
具有绝对浓度鲁棒性(ACR)的网络具有一个属性,即坐标超平面的翻译包含所有稳态(静态ACR)或吸引所有轨迹(动态ACR)。对基本生物系统的影响是在一个独立于初始条件的物种的浓度以及与所有其他物种的浓度无关的浓度中。确定动态ACR的网络条件是一个具有挑战性的问题。我们通过研究小反应网络,有2种反应和2种物种的小反应网络来奠定基础。我们通过这些最小反应网络的ACR属性进行了完整的分类。即使在这个简单的设置中,动态也很丰富。从这项工作中获得的洞察力将有助于用动态ACR阐明更复杂的网络的属性。
Networks with absolute concentration robustness (ACR) have the property that a translation of a coordinate hyperplane either contains all steady states (static ACR) or attracts all trajectories (dynamic ACR). The implication for the underlying biological system is robustness in the concentration of one of the species independent of the initial conditions as well as independent of the concentration of all other species. Identifying network conditions for dynamic ACR is a challenging problem. We lay the groundwork in this paper by studying small reaction networks, those with 2 reactions and 2 species. We give a complete classification by ACR properties of these minimal reaction networks. The dynamics is rich even within this simple setting. Insights obtained from this work will help illuminate the properties of more complex networks with dynamic ACR.