Bioprocessing offers a sustainable and green approach to the production of chemicals. However, a bottleneck in introducing bioprocesses is cell factory development, which is costly and time-consuming. A systems biology approach can expedite cell factory design by using genome-wide analyses alongside mathematical modeling to characterize and predict cellular physiology. This approach can drive cycles of design, build, test, and learn implemented by metabolic engineers to optimize the cell factory performance. Streamlining of the design phase requires a clearer understanding of metabolism and its regulation, which can be achieved using quantitative and integrated omic characterization, alongside more advanced analytical methods. We discuss here the current impact of systems biology and challenges of closing the gap between bioprocessing and more traditional methods of chemical production.

生物加工为化学品生产提供了一种可持续的绿色方法。然而，引入生物过程的瓶颈是细胞工厂的发展，这既昂贵又费时。系统生物学方法可以通过使用全基因组分析以及数学建模来表征和预测细胞生理，从而加快细胞工厂设计的速度。这种方法可以推动新陈代谢工程师实施设计，构建，测试和学习的周期，从而优化细胞工厂的性能。精简设计阶段需要对代谢及其调控有更清晰的了解，这可以通过使用定量和集成化的色谱表征以及更先进的分析方法来实现。