Literature DB >> 26390502

Designing Genetic Feedback Controllers.

Andreas W K Harris, James A Dolan, Ciarán L Kelly, James Anderson, Antonis Papachristodoulou.   

Abstract

By incorporating feedback around systems we wish to manipulate, it is possible to improve their performance and robustness properties to meet pre-specified design objectives. For decades control engineers have been successfully implementing feedback controllers for complex mechanical and electrical systems such as aircraft and sports cars. Natural biological systems use feedback extensively for regulation and adaptation but apart from the most basic designs, there is no systematic framework for designing feedback controllers in Synthetic Biology. In this paper we describe how classical approaches from linear control theory can be used to close the loop. This includes the design of genetic circuits using feedback control and the presentation of a biological phase lag controller.

Mesh:

Year:  2015        PMID: 26390502     DOI: 10.1109/TBCAS.2015.2458435

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  7 in total

1.  Synthetic negative feedback circuits using engineered small RNAs.

Authors:  Ciarán L Kelly; Andreas W K Harris; Harrison Steel; Edward J Hancock; John T Heap; Antonis Papachristodoulou
Journal:  Nucleic Acids Res       Date:  2018-10-12       Impact factor: 16.971

2.  Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks.

Authors:  Corentin Briat; Ankit Gupta; Mustafa Khammash
Journal:  J R Soc Interface       Date:  2018-06       Impact factor: 4.118

3.  GAMES: A Dynamic Model Development Workflow for Rigorous Characterization of Synthetic Genetic Systems.

Authors:  Kate E Dray; Joseph J Muldoon; Niall M Mangan; Neda Bagheri; Joshua N Leonard
Journal:  ACS Synth Biol       Date:  2022-01-13       Impact factor: 5.249

4.  Formal reasoning about synthetic biology using higher-order-logic theorem proving.

Authors:  Sa'ed Abed; Adnan Rashid; Osman Hasan
Journal:  IET Syst Biol       Date:  2020-10       Impact factor: 1.615

5.  Design of an embedded inverse-feedforward biomolecular tracking controller for enzymatic reaction processes.

Authors:  Mathias Foo; Jongrae Kim; Rucha Sawlekar; Declan G Bates
Journal:  Comput Chem Eng       Date:  2017-04-06       Impact factor: 3.845

6.  CoRa-A general approach for quantifying biological feedback control.

Authors:  Mariana Gómez-Schiavon; Hana El-Samad
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-29       Impact factor: 12.779

7.  System-based strategies for p53 recovery.

Authors:  Muhammad Rizwan Azam; Sahar Fazal; Mukhtar Ullah; Aamer I Bhatti
Journal:  IET Syst Biol       Date:  2018-06       Impact factor: 1.615

  7 in total

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