Metabolic networks are probably among the most challenging and promising biological networks. Their study provides insight into how biological pathways work and how robust a specific organism is against an environment or therapy. Previous studies have obtained relevant results using flux balance analysis (FBA) and simulations of single gene deletion. However, the structural characterization of metabolic networks as complex networks has been proven an arduous task. Past attempts have considered graphs whose nodes are the metabolites or reactions of the metabolic network in question, and only recently has the focus shifted to higher-order structures, highlighting that simple pairwise interaction may not be sufficient for characterization.