  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.
