Reverse Engineering Genome-Scale Metabolic Network Reconstructions for Biofuels


A genome-scale metabolic network reconstruction for Clostridium acetobutylicum (ATCC 824) was created using a new semi-automated reverse engineering algorithm. The reconstructed metabolic network consists of 422 intracellular metabolites involved in 552 reactions and includes 80 membrane transport reactions. This strict anaerobic bacterium is the model organism for the solventogenic clostridia. Its metabolic network supports the conversion of many complex substrates (most hexoses pentoses xylans and cellulose) to weak acids (acetate butyrate and lactate) as well as solvents (acetone butanol and ethanol) of interest to the biofuels and chemical industries. Applications: Biofuels

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