作者: M. Cvijovic , R. Olivares-Hernandez , R. Agren , N. Dahr , W. Vongsangnak
DOI: 10.1093/NAR/GKQ404
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摘要: The rapid progress of molecular biology tools for directed genetic modifications, accurate quantitative experimental approaches, high-throughput measurements, together with development genome sequencing has made the foundation a new area metabolic engineering that is driven by models. Systematic analysis biological processes means modelling and simulations identification networks prediction capabilities under different conditions possible. For facilitating such systemic analysis, we have developed BioMet Toolbox, web-based resource stoichiometric integration transcriptome interactome data, thereby exploiting genome-scale Toolbox provides an effective user-friendly way to perform linear programming towards maximized or minimized growth rates, substrate uptake rates production detecting relevant fluxes, simulate single double gene deletions detect metabolites around which major transcriptional changes are concentrated. These can be used in silico screening allows fully standardized simulations. Model files various model organisms (fungi bacteria) included. Overall, serves as valuable exploring these networks. freely available at www.sysbio.se/BioMet/.