Scan a network to identify side compounds. Side compounds are metabolites of small relevance for topological analysis. Their definition can be quite subjective and varies between sources. Side compounds tend to be ubiquitous and not specific to a particular biochemical or physiological process.Compounds usually considered as side compounds include water, atp or carbon dioxide. By being involved in many reactions and thus connected to many compounds, they tend to significantly lower the average shortest path distances beyond expected metabolic relatedness. This tool attempts to propose a list of side compounds according to specific criteria: - Degree: Compounds with an uncommonly high number of neighbors can betray a lack of process specificity. High degree compounds typically include water and most main cofactors (CoA, ATP, NADPH...) but can also include central compounds such as pyruvate or acetyl-CoA - Neighbor Coupling: Similar to degree, this criteria assume that side compounds are involved in many reactions, but in pairs with other side compounds. Therefore, the transition from ATP to ADP will appear multiple times in the network, creating redundant 'parallel edges' between these two neighbors. Being tightly coupled to another compound through a high number of redundant edges, can point out cofactors while keeping converging pathways' products with high degree like pyruvate aside. - Carbon Count: Metabolic "waste", or degradation end-product such as ammonia or carbon dioxide are usually considered as side compounds. Most of them are inorganic compound, another ill-defined concept, sometimes defined as compound lacking C-C or C-H bonds. Since chemical structure is rarely available in SBML model beyond chemical formula, we use a less restrictive criterion by flagging compound with one or no carbons. This cover most inorganic compounds, but include few compounds such as methane usually considered as organic. - Chemical Formula: Metabolic network often contains 'artifacts' that serve modelling purpose (to define a composite objective function for example). Such entities can be considered as 'side entities'. Since they are not actual chemical compounds, they can be detected by their lack of valid chemical formula. However, this can also flag main compounds with erroneous or missing annotation.