用生物信息学分析信号转导

生物谷

al system that is input from biologists, we will develop tools to automatically transform the information into a mathematical representation that is compatible with the simulation and analysis tools. Figure 9 shows the overall information systems architecture. The modeling tool captures biological graphical models. The upper left pane captures cell interaction diagrams. Diagrams are drawn from a palette of objects (lower left pane). The upper right pane shows the diagram hierarchy (hierarchy is used to manage complexity) while the attributes (suppression/stimulation, interaction dynamics equations, etc) are captured in the lower right pane. Software generation technology is applied to transform the models into various simulation and analysis tools. The process of analyzing cell pathways with the tool will involve:
1) Constructing the cellular pathways (or a hypothesized version) based on casual analysis using Bayesian networks.
2) Selecting the simulation or analysis type to be performed.
3) Defining the parameters for the simulation/analysis tool.
4) Generating the inputs Figure 9. A diagram for the workflow in the hybrid simulation environment. for the target tool (e.g. Fortran/C code, simulation input files, input data from the experimental data database).
5) Executing the target tool.

Execution will involve the selection of computational resources (target computers, number of processors, disk farms, etc.). After execution, the results will be extracted and used to: 1) display/annotate/update the biological models; 2) enter results into the database. All the processes may be done interactively and iteratively at least for some part of the modeling.

Figure 9