Cell factory design: unlocking the Multi-Objective Stochastic meTabolic game (MOST)

细胞工厂设计：解锁多目标随机代谢游戏（MOST）

• 批准号: EP/X041239/1
• 负责人: Shouyong Jiang
• 金额: $ 49万
• 依托单位: University of Aberdeen
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX041239%2F1
• 关键词: Cell; factory; design; unlocking; Multi

The goal of this project is to develop a detailed understanding of microbial metabolism through computational modelling and therefore to guide rational design of microbes (i.e., identification of gene knockouts, up/down-regulation targets) into cell factories as a sustainable alternative to petrochemical production routes for low-carbon production of value-added molecules, such as recombinant protein and human milk ingredients. Computational simulation of microbial metabolic activities combined with experimental validation studies will provide new insights into microbial systems by making reliable predictions of the flow of various chemical substances in cell metabolism, which will be able to direct the design of cells by regulating cell's energy and carbon flow towards the synthesis of molecules of interests. In turn this will lead to the development of a new computational tool for effective cell factory design that maximises microbes' production performance and accelerates their deployment in biomanufacturing industry for the transition to a biological economy.Important outcomes of the project include not only new knowledge and understanding of microbial systems but also the development of a set of bioinformatics tools available for studying cell physiology and designing productive microbial systems for engineering biology applications.

该项目的目标是通过计算模型详细了解微生物的新陈代谢，从而指导合理设计进入细胞工厂的微生物(即确定基因敲除、上调/下调目标)，作为石化生产路线的可持续替代方案，用于低碳生产增值分子，如重组蛋白质和人奶成分。微生物代谢活动的计算机模拟与实验验证研究相结合，将通过对细胞代谢中各种化学物质的流动做出可靠的预测，为微生物系统提供新的见解，这将能够通过调节细胞的能量和碳流来指导细胞的设计，从而合成感兴趣的分子。反过来，这将导致开发一种新的计算工具，用于有效的细胞工厂设计，使微生物的生产性能最大化，并加快它们在生物制造行业向生物经济过渡的部署。该项目的重要成果不仅包括对微生物系统的新知识和理解，还包括开发一套生物信息学工具，可用于研究细胞生理学和设计用于工程生物学应用的生产性微生物系统。