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.

该项目的目的是通过计算建模对微生物代谢进行详细的理解，因此，指导微生物的合理设计（即，基因敲除，向上/下调靶标的识别，向上/下调靶标）将其作为石油化学生产途径的可持续替代方案，用于低碳碳的生产，以促进增添亚蛋白的分子蛋白质蛋白质蛋白质和人类奶油蛋白酶。微生物代谢活性与实验验证研究相结合的计算模拟将通过对细胞代谢中各种化学物质的流动进行可靠的预测，从而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向感兴趣的分子的合成来指导细胞的设计。反过来，这将导致开发一种新的计算工具，以最大程度地提高微生物的生产能力，并加速其在生物制造行业中的部署，以过渡到生物经济。该项目的最重要结果不仅包括对微生物系统的新知识和理解，而且还包括用于研究生产的工具和设计生产的工具。