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DNA- and RNA-Based Computing Systems. Edition No. 1

  • ID: 5178904
  • Book
  • January 2021
  • 408 Pages
  • John Wiley and Sons Ltd

Discover the science of biocomputing with this comprehensive and forward-looking new resource

DNA- and RNA-Based Computing Systems delivers an authoritative overview of DNA- and RNA-based biocomputing systems that touches on cutting-edge advancements in computer science, biotechnology, nanotechnology, and materials science. Accomplished researcher, academic, and author Evgeny Katz offers readers an examination of the intersection of computational, chemical, materials, and engineering aspects of biomolecular information processing.

A perfect companion to the recently published Enzyme-Based Computing by the same editor, the book is an authoritative reference for those who hope to better understand DNA- and RNA-based logic gates, multi-component logic networks, combinatorial calculators, and related computational systems that have recently been developed for use in biocomputing devices.

DNA- and RNA-Based Computing Systems summarizes the latest research efforts in this rapidly evolving field and points to possible future research foci. Along with an examination of potential applications in biosensing and bioactuation, particularly in the field of biomedicine, the book also includes topics like:

  • A thorough introduction to the fields of DNA and RNA computing, including DNA/enzyme circuits
  • A description of DNA logic gates, switches and circuits,  and how to program them
  • An introduction to photonic logic using DNA and RNA
  • The development and applications of DNA computing for use in databases and robotics 

Perfect for biochemists, biotechnologists, materials scientists, and bioengineers, DNA- and RNA-Based Computing Systems also belongs on the bookshelves of computer technologists and electrical engineers who seek to improve their understanding of biomolecular information processing. Senior undergraduate students and graduate students in biochemistry, materials science, and computer science will also benefit from this book.

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Preface

1.            Evgeny Katz

DNA Computing – Origination, Motivation and Goals – Illustrated Introduction

2.            Deepak Sharma, Manojkumar Ramteke

DNA Computing: Methodologies and Challenges

3.            Chuan Zhang

DNA Computing and Circuits

4.            Dmitry M. Kolpashchikov A. Kalnin

Connecting DNA Logic Gates in Computational Circuits

5.            Trinity Jackson, Rachel Fitzgerald, Daniel K. Miller, Emil F. Khisamutdinov

Development of Logic Gate Nanodevices from Fluorogenic RNA Aptamers

6.            Jiang Li, Chunhai Fan

Programming Molecular Circuitry and Intracellular Computing with Framework Nucleic Acids

7.            Dominic Lauzon, Guichi Zhu, Alexis Vallée-Bélisle

Engineering DNA Switches for DNA Computing Applications

8.            Dan Huang, Shu Yang, Qianfan Yang

Fluorescent Signal Design in DNA Logic Circuits

9.            Rehan Higgins, Melissa Massey, W. Russ Algar

Non-Traditional Luminescent and Quenching Materials for Nucleic Acid-Based Molecular Photonic Logic

10.          Marc Van Der Hofstadt, Guillaume Gines, Jean-Christophe Galas, André Estevez-Torres

Programming Spatio-temporal Patterns with DNA-based Circuits

11.          Vladik Kreinovich, Julio C. Urenda

Computing without Computing: DNA Version

12.          Daoqing Fan, Erkang Wang, Shaojun Dong

DNA Computing: Versatile Logic Circuits and Innovative Bio-applications

13.          Lukas Oesinghaus, Friedrich C. Simmel

Nucleic Acid-based Computing in Living Cells Using Strand Displacement Processes

14.          Antoine Bader, Scott L. Cockroft

Strand Displacement in DNA-based Nanodevices and Logic

15.          David Arredondo, Matthew R. Lakin, Darko Stefanovic, Milan N. Stojanovic

Development and Application of Catalytic DNA in Nanoscale Robotics

16.          Reem Mokhtar, Tianqi Song, Daniel Fu, Shalin Shah, Xin Song, Ming Yang, John Reif

DNA Origami Transformers

17.          Hiroki Yasuga, Kan Shoji, Ryuji Kawano

Nanopore Decoding for DNA Computing

18.          Xin Song, Shalin Shah, John Reif

An Overview of DNA-Based Digital Data Storage

19.          Evgeny Katz

Interfacing Enzyme-Based and DNA-Based Computing Systems – From Simple Boolean Logic to Sophisticated Reversible Logic Systems

20.          Evgeny Katz

                Conclusions and Perspectives – Further Research Directions and Possible Applications

Index

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Evgeny Katz Clarkson University, Potsdam, N.Y., USA.
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