ArticleBMC systems biology2009
A systematic design method for robust synthetic biology to satisfy design specifications.
Article in BMC systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering.Journal of the Royal Society, Interface · 2016Review
- Exploiting the dynamic properties of covalent modification cycle for the design of synthetic analog biomolecular circuitry.Journal of biological engineering · 2016Article
- Synthesizing genetic sequential logic circuit with clock pulse generator.BMC systems biology · 2014Article
- Systematic design methodology for robust genetic transistors based on I/O specifications via promoter-RBS libraries.BMC systems biology · 2013Article
- Article
- New measurement methods of network robustness and response ability via microarray data.PloS one · 2013Article
- A Unifying Mathematical Framework for Genetic Robustness, Environmental Robustness, Network Robustness and their Trade-offs on Phenotype Robustness in Biological Networks. Part III: Synthetic Gene Networks in Synthetic Biology.Evolutionary bioinformatics online · 2013Article
- A computational pipeline for identifying kinetic motifs to aid in the design and improvement of synthetic gene circuits.BMC bioinformatics · 2013Article
- On the Interplay between the Evolvability and Network Robustness in an Evolutionary Biological Network: A Systems Biology Approach.Evolutionary bioinformatics online · 2011Article
- Robust design of biological circuits: evolutionary systems biology approach.Journal of biomedicine & biotechnology · 2011Article
- GA-based Design Algorithms for the Robust Synthetic Genetic Oscillators with Prescribed Amplitude, Period and Phase.Gene regulation and systems biology · 2010Article
- Avoiding transcription factor competition at promoter level increases the chances of obtaining oscillation.BMC systems biology · 2010Article
- The challenges of informatics in synthetic biology: from biomolecular networks to artificial organisms.Briefings in bioinformatics · 2010Review
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2 authors.
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Abstract
backgroundSynthetic biology is foreseen to have important applications in biotechnology and medicine, and is expected to contribute significantly to a better understanding of the functioning of complex biological systems. However, the development of synthetic gene networks is still difficult and most newly created gene networks are non-functioning due to intrinsic parameter uncertainties, external disturbances and functional variations of intra- and extra-cellular environments. The design method for a robust synthetic gene network that works properly in a host cell under these intrinsic parameter uncertainties and external disturbances is the most important topic in synthetic biology.
resultsIn this study, we propose a stochastic model that includes parameter fluctuations and external disturbances to mimic the dynamic behaviors of a synthetic gene network in the host cell. Then, based on this stochastic model, four design specifications are introduced to guarantee that a synthetic gene network can achieve its desired steady state behavior in spite of parameter fluctuations, external disturbances and functional variations in the host cell. We propose a systematic method to select a set of appropriate design parameters for a synthetic gene network that will satisfy these design specifications so that the intrinsic parameter fluctuations can be tolerated, the external disturbances can be efficiently filtered, and most importantly, the desired steady states can be achieved. Thus the synthetic gene network can work properly in a host cell under intrinsic parameter uncertainties, external disturbances and functional variations. Finally, a design procedure for the robust synthetic gene network is developed and a design example is given in silico to confirm the performance of the proposed method.
conclusionBased on four design specifications, a systematic design procedure is developed for designers to engineer a robust synthetic biology network that can achieve its desired steady state behavior under parameter fluctuations, external disturbances and functional variations in the host cell. Therefore, the proposed systematic design method has good potential for the robust synthetic gene network design.
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