Background Vith the rapidly increasing biological productions, the data integration and interpretation task is made challenging by the incompleteness and noisiness of large-scale data sets literature-derived information has enabled the reconstruction of chemically and biologically consistent mathematical descriptions of biochemical networks in well-studied model organisms. and Furthermore model predictions can be directly compared with experimental data obtained Using a reconstructed genome-scale stoichiometric matrix as a starting point, the constraint-based modeling framework can then be used to make phenotypic predictions that can be compared to experimental data requently used constraint-based approaches include flux balance analysis(FBA) and regulated flux-balance analysis (rF BA) approachBackground • With the rapidly increasing biological productions, the data integration and interpretation task is made challenging by the incompleteness and noisiness of large-scale data sets. • literature-derived information has enabled the reconstruction of chemically and biologically consistent mathematical descriptions of biochemical networks in well-studied model organisms. And Furthermore, model predictions can be directly compared with experimental data obtained. • Using a reconstructed genome-scale stoichiometric matrix as a starting point, the constraint-based modeling framework can then be used to make phenotypic predictions that can be compared to experimental data. Frequently used constraint-based approaches include flux balance analysis (FBA) and regulated flux-balance analysis (rFBA) approach