Monte Carlo studies of genetic networks with special reference to the biological clock of Neurospora crassa
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to be a very simple and ecient view of a living system. A general purpose kinetic simulator (KINSOLVER) is developed. As a stochastic alternative, an ecient statistical Monte Carlo method is applied to identify an ensemble of deterministic models consistent with RNA and protein proling data for biological clock of Neuropora crassa. Maximally Informative Next Experiment (MINE) is designed and employed to guide new experiments to further improve the quality of the quantitative prediction. A Java Servlet based web site (ENSSOLVER) is developed to visualize and analyze the simulation results.