An Engineering Study of Metabolic Regulation in Microbial Processes

反应动力学模型，控制变量（计算 使用简单的宏观经济原则）， 代表了合成和活动的内部调节 竞争性代谢过程的关键酶， 成功地描述了各种增长情况的混合 （可替代的）衬底系统。 动态演进 提出了一个控制论框架，用于模拟代谢 在这一过程中，运输、反应和产物形成 争夺细胞材料和能源， 对代谢途径突然转变的观察， 代谢滞后、外来（振荡）动力学等，则属功过 这些模式的适应。 一项计划正在进行中， 提供酶水平、细胞质量、生物活性、 和非生物底物，以及产物浓度等，这 将与各种情况下的模型预测进行比较。 这些情况包括不同模式的变化， 在补料分批和连续培养中的非生物阶段。 微生物对环境的反应方式 由一个非常精细复杂的内部机制控制 由细胞的重要分子介导，如DNA，RNA， 其他许多人. 在模拟微生物过程中， 生物技术的许多产品，必须考虑到这一点， 代谢调节。 从过去的工作中可以看出， 代谢调节可以简单地用宏观经济学来描述， 原则 一项广泛的研究计划正在开发中 这个想法在建模过程中的各个方面对于 现代生物技术。

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.