James A, Swann K, Recce M
Department of Anatomy and Developmental Biology, University College London, UK.
Int J Neural Syst. 1996 Sep;7(4):333-41. doi: 10.1142/s0129065796000294.
The behaviour of cells is coordinated by a large array of different types of intracellular protein kinases, protein phosphatases and second messenger molecules. Current experimental evidence suggests that these kinases, phosphatases and other messengers form a vast complicated interconnected signalling network inside the cell. A generic model of this signalling network is presented which is specifically designed to examine the global properties that can be expected from a model based on the available knowledge of these molecular interactions. Different protein types are represented as nodes in a network that interact via a connection matrix. During interactions, idealised kinases and phosphatases activate and deactivate other protein types by altering the level of phosphorylation of their regulatory sites. The occupancy of regulatory sites on protein kinases and phosphatases in turn determines their activity. Monte Carlo simulations are carried out on ensembles of networks. Steady states and periodic behaviour are observed in these networks. We discuss the potential of this type of model for understanding cell behaviour.
细胞的行为由大量不同类型的细胞内蛋白激酶、蛋白磷酸酶和第二信使分子协调。目前的实验证据表明，这些激酶、磷酸酶和其他信使在细胞内形成了一个庞大而复杂的相互连接的信号网络。本文提出了一个该信号网络的通用模型，该模型专门设计用于研究基于这些分子相互作用的现有知识所期望的全局特性。不同的蛋白质类型在网络中表示为节点，它们通过连接矩阵相互作用。在相互作用过程中，理想化的激酶和磷酸酶通过改变其调节位点的磷酸化水平来激活和失活其他蛋白质类型。蛋白激酶和磷酸酶上调节位点的占有率反过来又决定了它们的活性。对网络集合进行了蒙特卡罗模拟。在这些网络中观察到了稳态和周期性行为。我们讨论了这种类型的模型在理解细胞行为方面的潜力。
