Brochado Ana Rita, Patil Kiran Raosaheb
Genome Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, Heidelberg, 69117, Germany.
Methods Mol Biol. 2014;1152:281-94. doi: 10.1007/978-1-4939-0563-8_17.
Identification of metabolic engineering strategies for rerouting intracellular fluxes towards a desired product is often a challenging task owing to the topological and regulatory complexity of metabolic networks. Genome-scale metabolic models help tackling this complexity through systematic consideration of mass balance and reaction directionality constraints over the entire network. Here, we describe how genome-scale metabolic models can be used for identifying gene deletion targets leading to increased production of the desired product. Vanillin production in Saccharomyces cerevisiae is used as a case study throughout this chapter.
由于代谢网络的拓扑结构和调控复杂性，确定将细胞内通量重新导向所需产物的代谢工程策略通常是一项具有挑战性的任务。基因组规模的代谢模型通过系统考虑整个网络的质量平衡和反应方向性约束，有助于应对这种复杂性。在这里，我们描述了如何使用基因组规模的代谢模型来识别导致所需产物产量增加的基因删除靶点。本章将酿酒酵母中香草醛的生产作为一个案例研究。
