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Cited by 283

The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.

Control theory meets synthetic biology

Open access
Del Vecchio, Domitilla, Dy, Aaron J., Qian, Yili·2016·Journal of The Royal Society Interface

Abstract

The past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells. In particular, we describe success stories that demonstrate how simple or more elaborate control design methods can be used to make the behaviour of synthetic genetic circuits within a single cell or across a cell population more reliable, predictable and robust to perturbations. The description especially highlights technical challenges that uniquely arise from the need to implement control designs within a new hardware setting, along with implemented or proposed solutions. Some engineering solutions employing complex feedback control schemes are also described, which, however, still require a deeper theoretical analysis of stability, performance and robustness properties. Overall, this paper should help synthetic biologists become familiar with feedback control concepts as they can be used in their application area. At the same time, it should provide some domain knowledge to control theorists who wish to enter the rising and exciting field of synthetic biology.

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Crossref · 10.1098/rsif.2016.0380

Cites

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Citations

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Metadata

Authors
Del Vecchio, D., Dy, A. J., & Qian, Y.
Venue
Journal of The Royal Society Interface
Published
2016-07
Volume
13
Issue
120
Pages
20160380
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2477731233
Cited by
283
References
117
FWCI
14.30
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Control theory meets synthetic biology. https://app.cochat.ai/papers/10.1098/rsif.2016.0380
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Del Vecchio, D., Dy, A. J., & Qian, Y. (2016). Control theory meets synthetic biology. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2016.0380

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.