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Problem Addressed

Dynamic flux balance analysis (DFBA) provides a quantitative modeling framework used to simulate dynamic biochemical processes. Typical dFBA models use solutions of linear programs (LPs) to predict species concentrations. Common challenges with classic DFBA simulators involve the LPs becoming infeasible or producing non-unique solution sets. This results in failure during numerical integration and limits the reliability of simulated results.