Design constraints in an operon circuit for engineered control of metabolic networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We consider a synthetic gene circuit aimed at regulating the flux through an unbranched metabolic network. The control circuit has an operon architecture whereby the expression of all pathway enzymes is transcriptionally repressed by the metabolic product. We parameterize the gene regulatory model in terms of the promoter characteristic and ribosome binding site (RBS) strengths, both of which are common tuneable knobs in Synthetic Biology. We show that enzymatic saturation imposes bounds on the RBS strength design space. These bounds must be satisfied to prevent metabolite accumulation and guarantee the stability of the network. Simulation results also suggest that the control circuit can effectively upregulate enzyme production to compensate flux perturbations.
Original languageEnglish
Title of host publication2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
Number of pages6
Publication statusPublished - 1 Dec 2012
Event51st IEEE Conference on Decision and Control (CDC) - Maui, United States
Duration: 10 Dec 201213 Dec 2012


Conference51st IEEE Conference on Decision and Control (CDC)
Abbreviated titleCDC 2012
Country/TerritoryUnited States
Internet address

Keywords / Materials (for Non-textual outputs)

  • biochemistry
  • biocontrol
  • compensation
  • enzymes
  • genetics
  • molecular biophysics
  • stability
  • operon circuit design constraints
  • engineered control
  • metabolic networks
  • synthetic gene circuit
  • flux regulation
  • unbranched metabolic network
  • control circuit
  • pathway enzymes
  • metabolic product
  • gene regulatory model
  • promoter characteristic
  • ribosome binding site strengths
  • synthetic biology
  • enzymatic saturation
  • RBS strength design space
  • metabolite accumulation
  • network stability
  • flux perturbation compensation
  • Biochemistry
  • Steady-state
  • Substrates
  • Integrated circuit modeling
  • Kinetic theory
  • Biological system modeling
  • Circuit stability


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