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, I present a first attempt to connect the topology of an Autocatalytic Set with its dynamics. For this purpose, I represent Autocatalytic Sets in terms of Chemical Reaction Networks, and I use the Chemical Reaction Network theory to detect motifs in the networks’structure, that allow to determine the long-term behaviour of the system.

自催化集是被理论化为生命基础网络的反应网络。它们的主要特征是自发出现和自我繁殖的能力。自反和食物生成理论根据具有特殊拓扑特性的图提供了自催化集的正式定义。这种形式化已被证明是研究生命背后化学网络的有力工具，并且能够识别真实代谢网络中的自催化结构。然而，这种网络的动态行为尚未完全阐明。在这项工作中，我首次尝试将自动催化集的拓扑与其动力学联系起来。为此，我用化学反应网络表示自催化集，