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A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity.一种解释组合复杂性的表皮生长因子受体信号传导早期事件的网络模型。
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Genome-scale reconstruction of the metabolic network in Staphylococcus aureus N315: an initial draft to the two-dimensional annotation.金黄色葡萄球菌N315代谢网络的全基因组规模重建:二维注释的初稿
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反应网络的热力学可行动力学模型。

Thermodynamically feasible kinetic models of reaction networks.

作者信息

Ederer Michael, Gilles Ernst Dieter

机构信息

Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.

出版信息

Biophys J. 2007 Mar 15;92(6):1846-57. doi: 10.1529/biophysj.106.094094. Epub 2007 Jan 5.

DOI:10.1529/biophysj.106.094094
PMID:17208985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1861785/
Abstract

The dynamics of biological reaction networks are strongly constrained by thermodynamics. An holistic understanding of their behavior and regulation requires mathematical models that observe these constraints. However, kinetic models may easily violate the constraints imposed by the principle of detailed balance, if no special care is taken. Detailed balance demands that in thermodynamic equilibrium all fluxes vanish. We introduce a thermodynamic-kinetic modeling (TKM) formalism that adapts the concepts of potentials and forces from irreversible thermodynamics to kinetic modeling. In the proposed formalism, the thermokinetic potential of a compound is proportional to its concentration. The proportionality factor is a compound-specific parameter called capacity. The thermokinetic force of a reaction is a function of the potentials. Every reaction has a resistance that is the ratio of thermokinetic force and reaction rate. For mass-action type kinetics, the resistances are constant. Since it relies on the thermodynamic concept of potentials and forces, the TKM formalism structurally observes detailed balance for all values of capacities and resistances. Thus, it provides an easy way to formulate physically feasible, kinetic models of biological reaction networks. The TKM formalism is useful for modeling large biological networks that are subject to many detailed balance relations.

摘要

生物反应网络的动力学受到热力学的强烈约束。要全面理解其行为和调控,需要能遵循这些约束的数学模型。然而,如果不特别留意,动力学模型可能很容易违反由细致平衡原理施加的约束。细致平衡要求在热力学平衡状态下所有通量都消失。我们引入一种热力学 - 动力学建模(TKM)形式体系,它将不可逆热力学中的势和力的概念应用于动力学建模。在所提出的形式体系中,一种化合物的热动力势与其浓度成正比。比例因子是一个称为容量的化合物特定参数。一个反应的热动力是势的函数。每个反应都有一个阻力,它是热动力与反应速率的比值。对于质量作用型动力学,阻力是恒定的。由于它依赖于势和力的热力学概念,TKM 形式体系在结构上对于容量和阻力的所有值都遵循细致平衡。因此,它提供了一种简单的方法来构建生物反应网络的物理上可行的动力学模型。TKM 形式体系对于建模受许多细致平衡关系约束的大型生物网络很有用。