In the process of engineering biological organisms for production purposes in a bioprocess, one of the challenges is that there is often a metabolic conflict between the organism's natural goals (i.e. growth) and our engineered goal (i.e. chemical production). Through the development and use of genome-scale metabolic models it possible to assess different metabolic goals and to design organisms to minimize the conflict between different metabolic objectives. This talk will focus on the utilization of metabolic modeling as a framework to computationally design engineered strains and corresponding experimental results illustrating chemical production of designed E. coli strains over time. Characterization of designed strains using high-throughput data and future implications for consolidated bioprocessing for biofuel production will also be discussed.