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Computational Methods in Synthetic Biology

Overview of attention for book
Cover of 'Computational Methods in Synthetic Biology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Computational protein design methods for synthetic biology.
  3. Altmetric Badge
    Chapter 2 Computer-aided design of DNA origami structures.
  4. Altmetric Badge
    Chapter 3 Computational design of RNA parts, devices, and transcripts with kinetic folding algorithms implemented on multiprocessor clusters.
  5. Altmetric Badge
    Chapter 4 Regulatory RNA design through evolutionary computation and strand displacement.
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    Chapter 5 Programming Languages for Circuit Design
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    Chapter 6 Kappa Rule-Based Modeling in Synthetic Biology
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    Chapter 7 Modular Design of Synthetic Gene Circuits with Biological Parts and Pools
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    Chapter 8 Computationally Guided Design of Robust Gene Circuits
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    Chapter 9 Chemical Master Equation Closure for Computer-Aided Synthetic Biology
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    Chapter 10 Feedback loops in biological networks.
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    Chapter 11 Efficient Analysis Methods in Synthetic Biology
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    Chapter 12 Using computational modeling and experimental synthetic perturbations to probe biological circuits.
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    Chapter 13 In silico control of biomolecular processes.
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    Chapter 14 Stochastic modular analysis for gene circuits: interplay among retroactivity, nonlinearity, and stochasticity.
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    Chapter 15 Distributed Model Construction with Virtual Parts
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    Chapter 16 The synthetic biology open language.
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    Chapter 17 Computational Methods for the Construction, Editing, and Error Correction of DNA Molecules and Their Libraries
Attention for Chapter 2: Computer-aided design of DNA origami structures.
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Chapter title
Computer-aided design of DNA origami structures.
Chapter number 2
Book title
Computational Methods in Synthetic Biology
Published in
Methods in molecular biology, December 2014
DOI 10.1007/978-1-4939-1878-2_2
Pubmed ID
Book ISBNs
978-1-4939-1877-5, 978-1-4939-1878-2
Authors

Selnihhin D, Andersen ES, Denis Selnihhin, Ebbe Sloth Andersen, Selnihhin, Denis, Andersen, Ebbe Sloth

Abstract

The DNA origami method enables the creation of complex nanoscale objects that can be used to organize molecular components and to function as reconfigurable mechanical devices. Of relevance to synthetic biology, DNA origami structures can be delivered to cells where they can perform complicated sense-and-act tasks, and can be used as scaffolds to organize enzymes for enhanced synthesis. The design of DNA origami structures is a complicated matter and is most efficiently done using dedicated software packages. This chapter describes a procedure for designing DNA origami structures using a combination of state-of-the-art software tools. First, we introduce the basic method for calculating crossover positions between DNA helices and the standard crossover patterns for flat, square, and honeycomb DNA origami lattices. Second, we provide a step-by-step tutorial for the design of a simple DNA origami biosensor device, from schematic idea to blueprint creation and to 3D modeling and animation, and explain how careful modeling can facilitate later experimentation in the laboratory.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
China 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 28%
Student > Ph. D. Student 6 21%
Student > Bachelor 4 14%
Student > Master 4 14%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 6 21%
Readers by discipline Count As %
Chemistry 7 24%
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 4 14%
Engineering 3 10%
Medicine and Dentistry 2 7%
Other 2 7%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 January 2015.
All research outputs
#18,388,295
of 22,776,824 outputs
Outputs from Methods in molecular biology
#7,871
of 13,092 outputs
Outputs of similar age
#261,510
of 361,203 outputs
Outputs of similar age from Methods in molecular biology
#473
of 996 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,092 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,203 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.