Petri nets for steady state analysis of metabolic systems.
Petri nets for steady state analysis of metabolic systems.
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用于代谢系统稳态分析的 Petri 网。
DOI：
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发表时间：
2011
影响因子：
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通讯作者：
I. Koch
中科院分区：
文献类型：
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作者：
K. Voss;M. Heiner;I. Koch
生化途径的计算机辅助分析和模拟可以大大提高对细胞过程的结构和动力学的理解。由于缺乏可靠的数据，动力学模型的建立和定量分析常常受到阻碍。然而，由于生物化学系统的拓扑结构可以被认为在时间上保持不变，因此对途径模型进行定性分析被证明是非常有前途的，因为它可以提供许多有用的知识，例如关于其结构不变量的知识。本文的主题是物质达到动态浓度平衡（稳态）的途径。有人认为，来自生物化学和低级Petri网的赞赏工具只能产生部分预期结果，而可执行的高级网络模型通过结合符号分析和模拟导致许多有价值的额外见解。
Computer assisted analysis and simulation of biochemical pathways can improve the understanding of the structure and the dynamics of cell processes considerably. The construction and quantitative analysis of kinetic models is often impeded by the lack of reliable data. However, as the topological structure of biochemical systems can be regarded to remain constant in time, a qualitative analysis of a pathway model was shown to be quite promising as it can render a lot of useful knowledge, e. g., about its structural invariants. The topic of this paper are pathways whose substances have reached a dynamic concentration equilibrium (steady state). It is argued that appreciated tools from biochemistry and also low-level Petri nets can yield only part of the desired results, whereas executable high-level net models lead to a number of valuable additional insights by combining symbolic analysis and simulation.