Sánchez-Osorio Ismael, Hernández-Martínez Carlos Andrés, Martínez-Antonio Agustino
Laboratory of Biological Engineering, Department of Genetic Engineering, Center for Research and Advanced Studies of the National Polytechnic Institute, Irapuato, Guanajuato, CP 36824, Mexico.
Laboratory of Biological Engineering, Department of Genetic Engineering, Center for Research and Advanced Studies of the National Polytechnic Institute, Irapuato, Guanajuato, CP 36824, Mexico.
Curr Opin Microbiol. 2020 Jun;55:48-56. doi: 10.1016/j.mib.2020.02.008. Epub 2020 Mar 25.
A primary goal of synthetic biology is to develop gene circuits that perform their intended functions despite variations in the growth conditions. However, this has turned out to be more complicated than it originally seemed because there is a complex interplay between the operation of synthetic gene circuits and the global physiology of host cells. Mathematical models provide an avenue to disentangle the intricacies of this phenomenon and guide the design of synthetic circuits that robustly perform in a variety of conditions. In this work, we review quantitative modeling approaches that have been used to rationalize and predict experimental observations resulting from circuit-to-circuit and circuit-host interactions in bacteria.
合成生物学的一个主要目标是开发基因电路,使其在不同的生长条件下仍能执行预期功能。然而,事实证明这比最初看起来要复杂得多,因为合成基因电路的运行与宿主细胞的整体生理学之间存在复杂的相互作用。数学模型为理清这一现象的复杂性并指导在各种条件下都能稳健运行的合成电路设计提供了一条途径。在这项工作中,我们回顾了定量建模方法,这些方法已被用于合理化和预测细菌中电路与电路以及电路与宿主相互作用产生的实验观察结果。