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Minimally complex nucleic acid feedback control systems for first experimental implementations
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Paulino, Nuno M.G., Foo, Mathias, de Greef, Tom F.A., Kim, Jongmin and Bates, Declan G. (2020) Minimally complex nucleic acid feedback control systems for first experimental implementations. IFAC-PapersOnLine, 53 (2). pp. 16745-16752. doi:10.1016/j.ifacol.2020.12.1135
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WRAP-minimally-complex-nucleic-acid-feedback-control-systems-first-experimental-implementations-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (957Kb) | Preview |
Official URL: https://doi.org/10.1016/j.ifacol.2020.12.1135
Abstract
Chemical reaction networks based on catalysis, degradation, and annihilation may be used as building blocks to construct a variety of dynamical and feedback control systems in Synthetic Biology. DNA strand-displacement, which is based on DNA hybridisation programmed using Watson-Crick base pairing, is an effective primitive to implement such reactions experimentally. However, experimental construction, validation and scale-up of nucleic acid control systems is still significantly lagging theoretical developments, due to several technical challenges, such as leakage, crosstalk, and toehold sequence design. To help the progress towards experimental implementation, we provide here designs representing two fundamental classes of reference tracking control circuits (integral and state-feedback control), for which the complexity of the chemical reactions required for implementation has been minimised. The supplied ‘minimally complex’ control circuits should be ideal candidates for first experimental validations of nucleic acid controllers.
| Item Type: | Journal Article | |||||||||||||||
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| Subjects: | Q Science > QP Physiology T Technology > TJ Mechanical engineering and machinery |
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| Divisions: | Faculty of Science > Engineering | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | Feedback control systems, Nucleic acids, Synthetic biology | |||||||||||||||
| Journal or Publication Title: | IFAC-PapersOnLine | |||||||||||||||
| Publisher: | Elsevier | |||||||||||||||
| ISSN: | 2405-8963 | |||||||||||||||
| Official Date: | 2020 | |||||||||||||||
| Dates: |
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| Volume: | 53 | |||||||||||||||
| Number: | 2 | |||||||||||||||
| Page Range: | pp. 16745-16752 | |||||||||||||||
| DOI: | 10.1016/j.ifacol.2020.12.1135 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Access rights to Published version: | Open Access | |||||||||||||||
| RIOXX Funder/Project Grant: |
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