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Engineering a Robust DNA Circuit for the Direct Detection of Biomolecular Interactions

Engineering a Robust DNA Circuit for the Direct Detection of Biomolecular Interactions
Author: Ang Yan Shan
Publisher: Springer
Total Pages: 188
Release: 2018-09-21
Genre: Technology & Engineering
ISBN: 9811321884

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This book provides essential insights into designing a localized DNA circuit to promote the rate of desired hybridization reactions over undesired leak reactions in the bulk solution. The area of dynamic DNA nanotechnology, or DNA circuits, holds great promise as a highly programmable toolbox that can be used in various applications, including molecular computing and biomolecular detection. However, a key bottleneck is the recurring issue of circuit leakage. The assembly of the localized circuit is dynamically driven by the recognition of biomolecules – a different approach from most methods, which are based on a static DNA origami assembly. The design guidelines for individual reaction modules presented here, which focus on minimizing circuit leakage, are established through NUPACK simulation and tested experimentally – which will be useful for researchers interested in adapting the concepts for other contexts. In the closing section, the design concepts are successfully applied to the biomolecular sensing of a broad range of targets including the single nucleotide mutations, proteins, and cell surface receptors.


Improving the Selectivity and Reducing the Leakage of DNA Strand Displacement Systems

Improving the Selectivity and Reducing the Leakage of DNA Strand Displacement Systems
Author: Shohei Kotani
Publisher:
Total Pages: 125
Release: 2018
Genre: DNA
ISBN:

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"Because of the elegance of Watson-Crick base pairing and the programmability of toehold-mediated strand displacement, DNA is a model material for designing, building, and testing molecular assemblies. DNA assemblies are categorized as structural when they are at thermodynamic equilibrium and dynamic when they are not. Through programmed perturbations, metastable assemblies perform physical, chemical, and computational work. When integrated into a diagnostic package, disease-specific nucleic acid sequences can be identified, amplified, and analyzed via standard DNA nanotechnology rules. In order for these rules to make an impact, two critical challenges in the field have been undertaken in this dissertation. First, the selectivity to distinguish an on-target sequence from off-target sequences, with a resolution of a single-nucleotide mutation, has been explored by site-specifically integrating locked nucleic acids into DNA sequences. Locked nucleic acids are RNA analogues that have higher thermal and hence mechanical stability than RNA and DNA. Second, the initiation of metastable chemical reaction networks, in the absence of on-target sequences, has been explored to suppress network leakage; which is the single greatest problem in dynamic DNA nanotechnology. To address this challenge, original catalytic substrates were designed, built, and tested to increase the energy barrier of the leakage reactions without sacrificing the performance of the favorable catalytic reactions. The experimental results showed that site-specific integration of LNA into DNA sequences improved the sequence selectivity by over 2 orders of magnitude. They also showed that network leakage could be suppressed by 2 orders of magnitude by decoupling the leakage pathway from the catalytic pathway in the original catalytic substrates. When combined, these results constitute a substantial contribution to the field of dynamic DNA nanotechnology and represent important steps towards the creation of low-cost, early-stage diagnostic tools for difficult to detect diseases such as lung, breast, and pancreatic cancers."--Boise State University ScholarWorks.


Structural DNA Nanotechnology

Structural DNA Nanotechnology
Author: Nadrian C. Seeman
Publisher: Cambridge University Press
Total Pages: 269
Release: 2015
Genre: Computers
ISBN: 0521764483

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Written by the founder of the field, this is a comprehensive and accessible introduction to structural DNA nanotechnology.


Design of DNA Strand Displacement Based Circuits

Design of DNA Strand Displacement Based Circuits
Author: Aby Konampurath George
Publisher:
Total Pages: 145
Release: 2017
Genre: Nanoscience
ISBN:

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The reduction in the number of unique strands will consequently reduce the leakage reactions, circuit complexity, and cost associated with the DNA circuits. The real world biological inputs are analog in nature. If we can use those analog signals directly in the circuits, it can considerably reduce the resources required. Even though analog circuits are highly prone to noise, they are a perfect candidate for performing computations in the resource-limited environments, such as inside the cell. In the analog domain, we are developing a novel fuzzy inference engine using analog circuits such as the minimum gate, maximum gate, and fan-out gates. All the circuits discussed in this research were designed and tested in the Visual DSD software. The biological inputs are inherently fuzzy in nature, hence a fuzzy based system can play a vital role in future decision-making circuits. We hope that our research will be the first step towards realizing these larger goals. The ultimate aim of our research is to develop novel approaches for the design of circuits which can be used with the future biological devices to tackle many medical problems such as genetic disorders.


Green Nanoparticles

Green Nanoparticles
Author: Jayanta Kumar Patra
Publisher: Springer Nature
Total Pages: 395
Release: 2020-04-06
Genre: Science
ISBN: 3030392465

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Nanotechnology is the application of science to control matter at the molecular level. It has become one of the most promising applied technologies in all areas of science. Nanoparticles have multi-functional properties and have created very interesting applications in various fields such as medicine, nutrition, bioenergy, agriculture and the environment. But the biogenic syntheses of monodispersed nanoparticles with specific sizes and shapes have been a challenge in biomaterial science. Nanoparticles are of great interest due to their extremely small size and large surface-to-volume ratio, which lead to both chemical and physical differences in their properties (e.g., mechanical properties, biological and sterical properties, catalytic activity, thermal and electrical conductivity, optical absorption and melting point) compared to bulk of the same chemical composition. Recently, however, synthesizing metal nanoparticles using green technology via microorganisms, plants, viruses, and so on, has been extensively studied and has become recognized as a green and efficient way for further exploiting biological systems as convenient nanofactories. Thus the biological synthesis of nanoparticles is increasingly regarded as a rapid, ecofriendly, and easily scaled-up technology. Today researchers are developing new techniques and materials using nanotechnology that may be suitable for plants to boost their native functions. Recently, biological nanoparticles were found to be more pharmacologically active than physico-chemically synthesized nanoparticles. Various applications of biosynthesized nanoparticles have been discovered, especially in the field of biomedical research, such as applications to specific delivery of drugs, use for tumor detection, angiogenesis, genetic disease and genetic disorder diagnosis, photoimaging, and photothermal therapy. Further, iron oxide nanoparticles have been applied to cancer therapy, hyperthermia, drug delivery, tissue repair, cell labeling, targeting and immunoassays, detoxification of biological fluids, magnetic resonance imaging, and magnetically responsive drug delivery therapy. Nanoparticle synthesis for plant byproducts for biomedical applications has vast potential. This book offers researchers in plant science and biomedicine the latest research and opportunity to develop new tools for the synthesis of environmentally friendly and cost-effective nanoparticles for applications in biomedicine as well as other various fields.


Bio-inspired Computing: Theories and Applications

Bio-inspired Computing: Theories and Applications
Author: Linqiang Pan
Publisher: Springer Nature
Total Pages: 737
Release: 2020-04-01
Genre: Computers
ISBN: 9811534152

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This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019. The 122 full papers presented in both volumes were selected from 197 submissions. The papers in the two volumes are organized according to the topical headings: evolutionary computation and swarm intelligence; ​bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence.


Cell-Free Synthetic Biology

Cell-Free Synthetic Biology
Author: Jian Li
Publisher: Frontiers Media SA
Total Pages: 205
Release: 2022-01-13
Genre: Science
ISBN: 2889740803

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DNA Computing and Molecular Programming

DNA Computing and Molecular Programming
Author: Robert Brijder
Publisher: Springer
Total Pages: 278
Release: 2017-08-22
Genre: Computers
ISBN: 3319667998

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This book constitutes the refereed proceedings of the 23th International Conference on DNA Computing and Molecular Programming, DNA 23, held Austin, TX, USA, in September 2017. The 16 full papers presented were carefully selected from 23 submissions. Research in DNA computing aims to draw together mathematics, computerscience, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthesis of information-based molecular systems. The papers address all areas related to biomolecular computing such as: algorithms and models for computation with biomolecular systems; computational processes in vitro and in vivo; molecular motors and molecular robotics; studies of fault-tolerance and error correction; software tools for analysis, simulation, and design; synthetic biology and in vitro evolution; applications in engineering, physics, chemistry, biology, and medicine.