H'/> A computational approach to extinction events in chemical reaction networks with discrete state spaces
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A computational approach to extinction events in chemical reaction networks with discrete state spaces

机译:具有离散状态空间的化学反应网络中消除事件的计算方法

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Highlights?Recent results give conditions for extinction events in reaction networks with discrete state spaces.?The conditions consist of generating a series of systems of inequalities then checking their feasibility.?We present a computational implementation of these conditions written in Python.?We run the program on 458 models from the BioModels database and present our findings.AbstractRecent work of Johnston et?al. has produced sufficient conditions on the structure of a chemical reaction network which guarantee that the corresponding discrete state space system exhibits an extinction event. The conditions consist of a series of systems of equalities and inequalities on the edges of a modified reaction network called a domination-expanded reaction network. In this paper, we present a computational implementation of these conditions written in Python and ap
机译:<![cdata [ 亮点 最近的结果为反应网络中的灭绝事件提供了离散状态空间的条件。 条件包括生成一系列不等式系统然后检查他们的可行性。 我们提出了在Python中编写的这些条件的计算实现。 我们在生物汇定数据库的458型号上运行程序并呈现我们的研究结果。 抽象 Johnston等的最近工作。在化学反应网络的结构上产生了足够的条件,这保证了相应的离散状态空间系统呈现出灭绝事件。该条件包括一系列相等性和不平等的改进反应网络的边缘系统,称为膨胀扩增的反应网络。在本文中,我们介绍了在Python和AP中编写的这些条件的计算实施

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