To date, such a model has been constructed from the annotated genome of the acetogen, Moorella thermoacetica, and the output data have been sorted against various cellular strategies, including maximal efficiency of biomass yield per substrate, and substrate consumption in the presence of high exogenous concentrations. Output from such models has successfully predicted substrate concentrations that maximize ethanol production, as opposed to acetate, when M. thermoacetica was grown on CO2 and H2. In fact, the molar ratio of produced ethanol:acetate increased 80-fold when substrate conditions were adjusted per the models predictions. Under other substrate conditions, including H2 and nitrogen limited growth; we were able to predict substrate consumption, biomass production, and metabolite production to within 5 and 10 percent error. In addition, M. thermoacetica was grown using direct current as the sole electron donor, and as with H2 supported growth, we observed an apparent functionality between the electron donor/acceptor availability and metabolite production.