Literature DB >> 26748763

Controlled Logic Gates-Switch Gate and Fredkin Gate Based on Enzyme-Biocatalyzed Reactions Realized in Flow Cells.

Brian E Fratto1, Evgeny Katz2.   

Abstract

Controlled logic gates, where the logic operations on the Data inputs are performed in the way determined by the Control signal, were designed in a chemical fashion. Specifically, the systems where the Data output signals directed to various output channels depending on the logic value of the Control input signal have been designed based on enzyme biocatalyzed reactions performed in a multi-cell flow system. In the Switch gate one Data signal was directed to one of two possible output channels depending on the logic value of the Control input signal. In the reversible Fredkin gate the routing of two Data signals between two output channels is controlled by the third Control signal. The flow devices were created using a network of flow cells, each modified with one enzyme that biocatalyzed one chemical reaction. The enzymatic cascade was realized by moving the solution from one reacting cell to another which were organized in a specific network. The modular design of the enzyme-based systems realized in the flow device allowed easy reconfiguration of the logic system, thus allowing simple extension of the logic operation from the 2-input/3-output channels in the Switch gate to the 3-input/3-output channels in the Fredkin gate. Further increase of the system complexity for realization of various logic processes is feasible with the use of the flow cell modular design.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  biocatalysis; biocomputing; enzymes; flow cells; logic gates

Year:  2016        PMID: 26748763     DOI: 10.1002/cphc.201501095

Source DB:  PubMed          Journal:  Chemphyschem        ISSN: 1439-4235            Impact factor:   3.102


  5 in total

1.  DNA Computing Systems Activated by Electrochemically-triggered DNA Release from a Polymer-brush-modified Electrode Array.

Authors:  Maria Gamella; Andrey Zakharchenko; Nataliia Guz; Madeline Masi; Sergiy Minko; Dmitry M Kolpashchikov; Heiko Iken; Arshak Poghossian; Michael J Schöning; Evgeny Katz
Journal:  Electroanalysis       Date:  2016-08-05       Impact factor: 3.223

2.  A Stimuli-Responsive Biosensor of Glucose on Layer-by-Layer Films Assembled through Specific Lectin-Glycoenzyme Recognition.

Authors:  Huiqin Yao; Qianqian Gan; Juan Peng; Shan Huang; Meilin Zhu; Keren Shi
Journal:  Sensors (Basel)       Date:  2016-04-20       Impact factor: 3.576

3.  Design of Flow Systems for Improved Networking and Reduced Noise in Biomolecular Signal Processing in Biocomputing and Biosensing Applications.

Authors:  Arjun Verma; Brian E Fratto; Vladimir Privman; Evgeny Katz
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

4.  Allosteric DNAzyme-based DNA logic circuit: operations and dynamic analysis.

Authors:  Xuedong Zheng; Jing Yang; Changjun Zhou; Cheng Zhang; Qiang Zhang; Xiaopeng Wei
Journal:  Nucleic Acids Res       Date:  2019-02-20       Impact factor: 16.971

5.  Advanced Chemical Computing Using Discrete Turing Patterns in Arrays of Coupled Cells.

Authors:  František Muzika; Lenka Schreiberová; Igor Schreiber
Journal:  Front Chem       Date:  2020-10-29       Impact factor: 5.221

  5 in total

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