An Engineering Study of Metabolic Regulation in Microbial Processes

反应动力学模型添加了控制论变量(使用简单的宏观经济原理计算)，以表示竞争代谢过程中关键酶的合成和活性的内部调节，表明该模型成功地描述了混合(可替代)底物系统中的各种生长情况。提出了一个动态演化的控制论框架，用于模拟代谢调节，其中运输、反应和产物的形成竞争细胞的物质和能量资源，证据表明，对代谢途径中的突然开关、代谢滞后、外来(振荡)动力学等的观察都可以被这些模型所适应。一个正在进行的计划将提供酶水平、细胞质量、生物和非生物底物以及产物浓度等的详细观察，并将其与各种情况下的模型预测进行比较。这些情况包括补料分批和连续培养中非生物阶段的不同模式变化。微生物对环境的反应方式受到非常复杂和复杂的内部机制的控制，这些机制由细胞的重要分子(如DNA、RNA和许多其他分子)介导。在对许多生物技术产品的微生物过程进行建模时，必须考虑到这种代谢调节。过去的研究表明，代谢调节可以简单地用宏观经济原理来描述。一项广泛的研究计划现在正在对现代生物技术重要的建模过程中开发这一想法的各个方面。

Reaction kinetic models to which cybernetic variables (calculated using simple macroeconomic principles) have been added to represent the internal regulation of the syntheses and activities of key enzymes for competing metabolic processes are shown to successfully describe a variety of growth situations in mixed (substitutable) substrate systems. A dynamically evolving cybernetic framework is presented for modeling metabolic regulation in which transport, reaction, and product formation compete for cellular material and energy resources with evidence that observations on abrupt switches in metabolic pathways, metabolic lags, exotic (oscillatory) dynamics, etc., can all be accommodated by these models. A program is on-going which will provide detailed observations of enzyme levels, cell mass, biotic and abiotic substrate, and product concentrations, etc., which will be compared with model predictions under various situations. These situations include different patterned changes in the abiotic phase in fed batch and continuous cultures. Microorganisms respond to their environment in ways that are controlled by a very elaborate and complex internal mechanism mediated by important molecules of the cell, such as DNA, RNA, and many others. In modeling microbial processes responsible for the many products of biotechnology, account must be made of such metabolic regulation. Evidence is present from past work that metabolic regulation can be described simply using macroeconomic principles. An extensive research program is now developing various aspects of this idea in modeling processes important to modern biotechnology.