Presentation Information
[4ASBA-08-2]Systems Metabolic Engineering for the Production of Biospecialty Chemicals
○Youngjoon Lee1 (1. Korea Research Institute of Bioscience and Bioengineering)
Systems metabolic engineering guided by in silico simulations has enabled the efficient production of high-value chemicals from renewable biomass. iBridge is a computational framework that identifies metabolites with positive or negative influences on target chemical production by analyzing the summed covariances of their outgoing (consuming) reaction fluxes. Based on this analysis, iBridge identifies "bridge" reactions that convert negative metabolites into positive metabolites as overexpression targets, while identifying the opposites as candidates for downregulation. iBridge was validated by engineering Escherichia coli strains for the production of D-panthenol, achieving 10.3 g/L of a compound not previously produced in E. coli, as well as significantly improving the production of putrescine and 4-hydroxyphenyllactate to 63.7 and 8.3 g/L, respectively.
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