To further the quest to harness microbes for beneficial uses, scientists from Pacific Northwest National Laboratory and Purdue University developed a promising computational tool for analyzing microbial flux distribution and metabolic engineering. They used the Lumped Hybrid Cybernetic Model (L-HCM), developed by Purdue researchers Dr. Hyun-Seob Song and Dr. Doraiswami Ramkrishna, to predict and simulate the metabolic dynamics of Shewanella oneidensis MR-1 during aerobic growth in a bioreactor.