| 초록 |
dFBA (dynamic Flux Balance Analysis) has centered on substrate concentration, cell growth, and gene on/off, but a detailed hierarchical structure of a regulatory network has not been taken into account. For this reason, the dFBA has limited the representation of interactions between specific regulatory proteins and genes and the whole transcriptional regulation mechanism with environmental change. Moreover, to calculate optimal metabolic flux distribution which maximizes the growth flux and predict the behavior of cell system, linear programming package (LINDO) and spreadsheet package (EXCEL) have been used simultaneously. These two software package have limited in the visual representation of simulation results and it can be difficult for a user to look at the effects of changing inputs to the models. Here, we describe the construction of hierarchical regulatory network with defined symbols and the development of an integrated system that can predict the total control mechanism of regulatory elements (operons, genes, effectors, etc.), substrate concentration, growth rate, and optimal flux distribution with time. All programming procedures were accomplished in a visual programming environment (LabVIEW). |
