Algorithm speeds metabolic pathway analysis, spurring computational advances in network science

Scientists need a systematic understanding of cellular functioning to metabolically engineer microbes that produce biofuels and other high-value products, and to design drugs that combat pathogens and cancers. Metabolic networks are highly complex, however, so researchers computationally break them down into simplified metabolic pathways in order to analyze function. Think of the complex network of roads between New York City and Seattle. The simplified pathways help determine an optimum route.