There is a whole multitude of gene expression regulation mechanisms, which evolution successfully used to express whole nonlinear dynamical systems[1] appropria

There is a whole multitude of gene expression regulation mechanisms, which evolution successfully used to express whole nonlinear dynamical systems[1] appropriate to the task. These systems are partially understood[2] (there are promoter libraries[3], known cis- and trans- regulatory elements, activators and repressors, etc) and can be simulated[4][5] well enough to be of use for tailoring[6] single-celled organisms to a specific biotechnological task at hand. 1. https://en.wikipedia.org/wiki/Regulation_of_gene_expression#Circuitry https://en.wikipedia.org/wiki/Regulation_of_gene_expression#... 2. https://en.wikipedia.org/wiki/Systems_biology https://en.wikipedia.org/wiki/Systems_biology 3. http://rulai.cshl.edu/cgi-bin/TRED/tred.cgi?process=home http://rulai.cshl.edu/cgi-bin/TRED/tred.cgi?process=home 4. https://en.wikipedia.org/wiki/SBML https://en.wikipedia.org/wiki/SBML https://github.com/SysBioChalmers/Human-GEM https://github.com/SysBioChalmers/Human-GEM 5. https://link.springer.com/article/10.1186/s13059-019-1730-3 https://link.springer.com/article/10.1186/s13059-019-1730-3 6. https://biotechnologyforbiofuels.biomedcentral.com/articles/10.1186/s13068-019-1518-4 https://biotechnologyforbiofuels.biomedcentral.com/articles/...