Ahmad A. Mannan

This study identifies design principles for engineering bacteria to maximize chemical production in batch cultures by optimizing gene expression and metabolic resource allocation.

gcFront identifies Pareto optimal growth-coupled cell factory designs by optimizing cell growth, product synthesis, and coupling strength using a genetic algorithm.

This paper uses multiobjective optimization to analyze trade-offs in biosensor design for dynamic pathway engineering, showing improved production in E. coli.

The paper designs an irreversible metabolic switch in E. coli to reduce inducer usage for scalable microbial chemical production.

This study shows that Escherichia coli uses metabolite sequestration to rapidly recover from fatty acid depletion by releasing a transcriptional regulator.