title: WinBEST-KIT: Windows-based biochemical reaction simulator for metabolic pathways.
abstract: We have implemented an efficient, user-friendly biochemical reaction simulator called Web-based BEST-KIT (Biochemical Engineering System analyzing Tool-KIT) for analyzing large-scale nonlinear networks such as metabolic pathways. Users can easily design and analyze an arbitrary reaction scheme through the Internet and an efficient graphical user interface without considering the mathematical equations. The reaction scheme can include several reaction types, which are represented by both the mass action law (mass balance) and approximated velocity functions of enzyme kinetics at steady state, such as Michaelis-Menten, Hill cooperative, Competitive inhibition. However, since all modules in Web-based BEST-KIT have been developed in Java applet style, users cannot optionally make use of original mathematical equations in addition to the prepared equations. In the present study, we have developed a new version of BEST-KIT (for Microsoft Windows called WinBEST-KIT) to allow users to define original mathematical equations and to customize these equations very easily as user-defined reaction symbols. The following powerful system-analytical methods are prepared for system analysis: time-course calculation, parameter scanning, estimation of the values of unknown kinetic parameters based on experimentally observed time-course data of reactants, dynamic response of reactants against virtual external perturbations, and real-time simulation (Virtual Dry Lab).
authors.affiliation: Department of Information Engineering, Faculty of Engineering, Maebashi Institute of Technology, Maebashi, Gunma 371-0816, Japan. sekiguchi@maebashi-it.ac.jp
authors.forename: Tatsuya
authors.initials: T
authors.lastname: Sekiguchi
authors.forename: Masahiro
authors.initials: M
authors.lastname: Okamoto
mesh_terms: D019295:Computational Biology; D003198:Computer Simulation; D004798:Enzymes / Q000378:metabolism; D020407:Internet; D007700:Kinetics; D008433:Mathematics; D053858:Metabolic Networks and Pathways; D008956:Models, Chemical; D015398:Signal Transduction; D012984:Software; D049490:Systems Biology / Q000379:methods; D014584:User-Computer Interface
chemical_list: D004798:Enzymes