论文标题
自催化集的长期行为
Long-term behaviours of Autocatalytic Sets
论文作者
论文摘要
自催化集是在生命的基础上以理论为网络的反应网络。他们的主要特征是自发出现和自我复制的能力。反身和食物生成的理论在具有特殊拓扑特性的图表方面对自催化集的形式定义。事实证明，这种形式化是研究生命潜在化学网络的强大工具，并且能够识别实际代谢网络中的自催化结构。但是，此类网络的动力学行为尚未符合阐明。在这项工作中，我们首次尝试将自催化集的拓扑与其动态联系起来。为此，我们代表了化学反应网络的自催化集，并使用化学反应网络理论来检测网络结构中的基序，从而使我们能够确定系统的长期行为。
Autocatalytic Sets are reaction networks theorised as networks at the basis of life. Their main feature is the ability of spontaneously emerging and self-reproducing. The Reflexively and Food-generated theory provides a formal definition of Autocatalytic Sets in terms of graphs with peculiar topological properties. This formalisation has been proved to be a powerful tool for the study of the chemical networks underlying life, and it was able to identify autocatalytic structures in real metabolic networks. However, the dynamical behaviour of such networks has not been yet complitely clarified. In this work, we present a first attempt to connect the topology of an Autocatalytic Set with its dynamics. For this purpose, we represent Autocatalytic Sets in terms of Chemical Reaction Networks, and we use the Chemical Reaction Network theory to detect motifs in the networks'structure, that allow us to determine the long-term behaviour of the system.
