Abstract
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 language | English |
|---|---|
| Title of host publication | 2012 IEEE 51st IEEE Conference on Decision and Control (CDC) |
| Pages | 3608-3613 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 1 Dec 2012 |
| Event | 51st IEEE Conference on Decision and Control (CDC) - Maui, United States Duration: 10 Dec 2012 → 13 Dec 2012 http://www.ieeecss.org/CAB/conferences/cdc2012/ |
Conference
| Conference | 51st IEEE Conference on Decision and Control (CDC) |
|---|---|
| Abbreviated title | CDC 2012 |
| Country/Territory | United States |
| City | Maui |
| Period | 10/12/12 → 13/12/12 |
| 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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