作者: S. Wegerhoff , T. C. Neymann , S. Engell
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摘要: The synchronization of cell populations is an important topic not only in research but also for biotechnological production processes. Synchronization means that all cells the culture are same phase cycle and they divide, at best, unison. A synchronized molecular biology to analyze events understand how control growth division. It has a high potential processes because many products which commercial interest dependent or synthesized manner. In this work strategy silico budding yeast computed analyzed. based on single model taken from literature describes Saccharomyces cerevisiae by concentrations interactions proteins participate cycle. By individually setting parameters each cell, can be used non-homogenous population. approach followed here manipulation native proteins. variation two achieved different gene expression rates leads modified cyclins appear late G 1 phase. Dependent concentration these cyclins, either lengthened shortened, thus maintaining accelerating their transition other phases. Due non-convexity problem, optimization done memetic algorithm. applied exponential growing population inside batch reactor chemostat. detailed analysis effect levels presented. For chemostat, periodic pattern synchronizing keeping synchrony computed.