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DNA- and RNA-Based Computing Systems
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Страница 1
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
DNA- and RNA-Based Computing Systems
Страница 8
Страница 9
1 DNA Computing: Origination, Motivation, and Goals – Illustrated Introduction
1.1 Motivation and Applications
1.2 DNA‐ and RNA‐Based Biocomputing Systems in Progress
1.3 DNA‐Based Information Storage Systems
1.4 Short Conclusions and Comments on the Book
References
2 DNA Computing: Methodologies and Challenges
2.1 Introduction to DNA Computing Methodologies
2.2 Key Developments in DNA Computing
2.2.1 Adleman Model
2.2.2 Lipton's Model
2.2.3 Smith's Model
2.2.4 Sakamoto's Model
2.2.5 Ouyang's Model
2.2.6 Chao's Model
2.2.7 DNA Origami
2.2.8 DNA‐Based Data Storage
2.3 Challenges
Acknowledgment
References
3 DNA Computing and Circuits
3.1 From Theory to DNA Implementations
3.2 Application‐Specific DNA Circuits
Acknowledgments
References
4 Connecting DNA Logic Gates in Computational Circuits
4.1 DNA Logic Gates in the Context of Molecular Computation
4.2 Connecting Deoxyribozyme Logic Gates
4.3 Connecting Gates Based on DNA Strand Displacement
4.4 Logic Gates Connected Via DNA Four‐Way Junction (4WJ)
4.5 Conclusion
References
Note
5 Development of Logic Gate Nanodevices from Fluorogenic RNA Aptamers
5.1 Nucleic Acid: The Material of Choice for Nanotechnology
5.2 RNA Aptamers are Modular and Programmable Biosensing Units
5.3 Construction of RNA Nanoparticles with Integrated Logic Gate Operations Using Light‐Up Aptamers
5.3.1 Implementation of MG‐Binding RNA Aptamer to Design Binary Logic Gates
5.3.2 Implementation of MG‐Binding RNA Aptamer and Broccoli RNA Aptamer to Design Half‐Adder Circuit
5.4 Conclusion
Acknowledgments
References
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