Investigation of Intelligent Network Topology by Mimicking the Fault-tolerant Network Structure of Metabolic Pathways

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In spite of taking the continuous perturbations, metabolic pathways can keep the homeostatic capability of biochemical information. They may be fault-tolerant against external perturbations and take multi-compensating structure. By mimicking these features as for the network topology of metabolic pathways, we can propose the intelligent fault-tolerant network topology of telecommunications. We have implemented an efficient, user-friendly "biosimulator" named BEST-KIT (Biochemical Engineering System analyzing Tool-KIT) for analyzing a large scaled nonlinear reaction network such as metabolic pathways. The BEST-KIT mainly consists of two kinds of modules, "MassAction" and "EnzymeKinetics". In this study, we have developed new module, "MassAction++", which can construct and analyze reaction scheme represented by both mass action law (mass balance) and approximated velocity functions of enzyme kinetics at steady state. All modules in BEST-KIT are developed in Java applet style, and can be carried out on the "any" platform machine through the web browser. The "MassAction++" was developed by Java applet style and can save data related on the constructed reaction scheme and time course data on the client disk space and can load it to the web browser.