Literature DB >> 27164599

Implementing Nonlinear Feedback Controllers Using DNA Strand Displacement Reactions.

Rucha Sawlekar, Francesco Montefusco, Vishwesh V Kulkarni, Declan G Bates.   

Abstract

We show how an important class of nonlinear feedback controllers can be designed using idealized abstract chemical reactions and implemented via DNA strand displacement (DSD) reactions. Exploiting chemical reaction networks (CRNs) as a programming language for the design of complex circuits and networks, we show how a set of unimolecular and bimolecular reactions can be used to realize input-output dynamics that produce a nonlinear quasi sliding mode (QSM) feedback controller. The kinetics of the required chemical reactions can then be implemented as enzyme-free, enthalpy/entropy driven DNA reactions using a toehold mediated strand displacement mechanism via Watson-Crick base pairing and branch migration. We demonstrate that the closed loop response of the nonlinear QSM controller outperforms a traditional linear controller by facilitating much faster tracking response dynamics without introducing overshoots in the transient response. The resulting controller is highly modular and is less affected by retroactivity effects than standard linear designs.

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Year:  2016        PMID: 27164599     DOI: 10.1109/TNB.2016.2560764

Source DB:  PubMed          Journal:  IEEE Trans Nanobioscience        ISSN: 1536-1241            Impact factor:   2.935


  5 in total

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2.  Four-Analog Computation Based on DNA Strand Displacement.

Authors:  Chengye Zou; Xiaopeng Wei; Qiang Zhang; Chanjuan Liu; Changjun Zhou; Yuan Liu
Journal:  ACS Omega       Date:  2017-08-02

3.  Adaptive information processing of network modules to dynamic and spatial stimuli.

Authors:  J Krishnan; Ioannis Floros
Journal:  BMC Syst Biol       Date:  2019-03-14

4.  Renewable DNA Proportional-Integral Controller with Photoresponsive Molecules.

Authors:  Masaaki Tamba; Keiji Murayama; Hiroyuki Asanuma; Takashi Nakakuki
Journal:  Micromachines (Basel)       Date:  2022-01-26       Impact factor: 2.891

5.  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

  5 in total

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