Alternatively, mass-action models can be represented by a bipartite graph with nodes representing chemical species and reactions. The mathematical foundation for so-called species-species networks was introduced in the early 1970's, and gained significant attention after Feinberg demonstrated that abstract graph theory can be applied to study interconnected chemical reactions. More recently, Yu and Cracuin showed that mathematical properties of the solutions of mass-action systems are strongly related to key properties of the CRNs that generate them, including their feedback interactions. Concepts based on CRN Theory, however, are not sufficiently informative to guide the design of CRNs for the synthesis-oriented chemist: While theory takes the perspective that thousands of reactions can be treated as similar, in practice, each class of reactions can have its own chemical rules. We need new methods to represent, collect and extract information to predict structures and functions of CRNs that are synthetically feasible. This is a non-trivial task as the design of CRNs requires expertises in chemical synthesis and graph analysis to create a foundation that takes into account the chemical and mathematical perspectives on how reactions become networks.