LAPSE:2019.0582
Published Article
LAPSE:2019.0582
Distilling Robust Design Principles of Biocircuits Using Mixed Integer Dynamic Optimization
June 10, 2019
A major challenge in model-based design of synthetic biochemical circuits is how to address uncertainty in the parameters. A circuit whose behavior is robust to variations in the parameters will have more chances to behave as predicted when implemented in practice, and also to function reliably in presence of fluctuations and noise. Here, we extend our recent work on automated-design based on mixed-integer multi-criteria dynamic optimization to take into account parametric uncertainty. We exploit the intensive sampling of the design space performed by a global optimization algorithm to obtain the robustness of the topologies without significant additional computational effort. Our procedure provides automatically topologies that best trade-off performance and robustness against parameter fluctuations. We illustrate our approach considering the automated design of gene circuits achieving adaptation.
Keywords
bio-design automation, biocircuits, computer-aided design, Optimization, robust design, synthetic biology
Suggested Citation
Otero-Muras I, Banga JR. Distilling Robust Design Principles of Biocircuits Using Mixed Integer Dynamic Optimization. (2019). LAPSE:2019.0582
Author Affiliations
Otero-Muras I: BioProcess Engineering Group, IIM-CSIC, Spanish National Research Council, 36208 Vigo, Spain [ORCID]
Banga JR: BioProcess Engineering Group, IIM-CSIC, Spanish National Research Council, 36208 Vigo, Spain [ORCID]
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Journal Name
Processes
Volume
7
Issue
2
Article Number
E92
Year
2019
Publication Date
2019-02-13
Published Version
ISSN
2227-9717
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PII: pr7020092, Publication Type: Journal Article
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LAPSE:2019.0582
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doi:10.3390/pr7020092
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Jun 10, 2019
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