Among the biggest threats to modern society is the rapid emergence of microbes with the simultaneous resistance to multiple antibiotics. The discovery of untreatable strains of Enterobacteriaceae has brought us to a point-of-no-return, where a near future with modern medical treatments, such as major surgeries, cancer chemotherapy, and treatment of preterm babies will be associated with an enormous risk of untreatable bacterial infections.  The modeling and analysis of genome-scale metabolic network reconstructions of microbes is a promising avenue for identifying potential antibiotic targets based on metabolic network properties. In this presentation, he will discuss recent progress in assessing metabolic network robustness.