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Dengue

Overview of attention for book
Cover of 'Dengue'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Dengue Virus Growth, Purification, and Fluorescent Labeling
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    Chapter 2 Isolation and Titration of Dengue Viruses by the Mosquito Inoculation Technique
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    Chapter 3 Dengue
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    Chapter 4 Dengue Virus Purification and Sample Preparation for Cryo-Electron Microscopy
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    Chapter 5 Development of a Multiplex Bead-Based Assay to Monitor Dengue Virus Seroconversion
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    Chapter 6 Pseudo-infectious Reporter Virus Particles for Measuring Antibody-Mediated Neutralization and Enhancement of Dengue Virus Infection
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    Chapter 7 Cell-Based Flavivirus Infection (CFI) Assay for the Evaluation of Dengue Antiviral Candidates Using High-Content Imaging
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    Chapter 8 Development and Application of Dengue Virus Reverse Genetic Systems
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    Chapter 9 Construction of Self-Replicating Subgenomic Dengue Virus 4 (DENV4) Replicon.
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    Chapter 10 Targeted Mutagenesis of Dengue Virus Type 2 Replicon RNA by Yeast In Vivo Recombination
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    Chapter 11 Dengue
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    Chapter 12 Next-generation whole genome sequencing of dengue virus.
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    Chapter 13 MPGAfold in Dengue Secondary Structure Prediction.
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    Chapter 14 Insights into Secondary and Tertiary Interactions of Dengue Virus RNA by SHAPE
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    Chapter 15 Use of Small-Angle X-ray Scattering to Investigate the Structure and Function of Dengue Virus NS3 and NS5
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    Chapter 16 Dengue
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    Chapter 17 Analysis of affinity of dengue virus protein interaction using biacore.
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    Chapter 18 Functional genomics approach for the identification of human host factors supporting dengue viral propagation.
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    Chapter 19 Investigating Dengue Virus Nonstructural Protein 5 (NS5) Nuclear Import
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    Chapter 20 Small Molecule Inhibitor Discovery for Dengue Virus Protease Using High-Throughput Screening
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    Chapter 21 Construction of Dengue Virus Protease Expression Plasmid and In Vitro Protease Assay for Screening Antiviral Inhibitors
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    Chapter 22 Construction of Plasmid, Bacterial Expression, Purification, and Assay of Dengue Virus Type 2 NS5 Methyltransferase
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    Chapter 23 Animal Models in Dengue
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    Chapter 24 Evaluation of Dengue Antiviral Candidates In Vivo in Mouse Model
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    Chapter 25 Erratum to: Analysis of Affinity of Dengue Virus Protein Interaction Using Biacore
Attention for Chapter 13: MPGAfold in Dengue Secondary Structure Prediction.
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Chapter title
MPGAfold in Dengue Secondary Structure Prediction.
Chapter number 13
Book title
Dengue
Published in
Methods in molecular biology, April 2014
DOI 10.1007/978-1-4939-0348-1_13
Pubmed ID
Book ISBNs
978-1-4939-0347-4, 978-1-4939-0348-1
Authors

Kasprzak WK, Shapiro BA, Wojciech K. Kasprzak, Bruce A. Shapiro, Kasprzak, Wojciech K., Shapiro, Bruce A.

Abstract

This chapter presents the computational prediction of the secondary structures within the 5' and 3' untranslated regions of the dengue virus serotype 2 (DENV2), with the focus on the conformational prediction of the two dumbbell-like structures, 5' DB and 3' DB, found in the core region of the 3' untranslated region of DENV2. For secondary structure prediction purposes we used a 719 nt-long subgenomic RNA construct from DENV2, which we refer to as the minigenome. The construct combines the 5'-most 226 nt from the 5' UTR and a fragment of the capsid coding region with the last 42 nt from the non-structural protein NS5 coding region and the 451 nt of the 3' UTR. This minigenome has been shown to contain the elements needed for translation, as well as negative strand RNA synthesis. We present the Massively Parallel Genetic Algorithm MPGAfold, a non-deterministic algorithm, that was used to predict the secondary structures of the DENV2 719 nt long minigenome construct, as well as our computational workbench called StructureLab that was used to interactively explore the solution spaces produced by MPGAfold. The MPGAfold algorithm is first introduced at the conceptual level. Then specific parameters guiding its performance are discussed and illustrated with a representative selection of the results from the study. Plots of the solution spaces generated by MPGAfold illustrate the algorithm, while selected secondary structures focus on variable formation of the dumbbell structures and other identified structural motifs. They also serve as illustrations of some of the capabilities of the StructureLab workbench. Results of the computational structure determination calculations are discussed and compared to the experimental data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 46%
Student > Bachelor 2 15%
Professor 2 15%
Student > Ph. D. Student 1 8%
Other 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Computer Science 2 15%
Medicine and Dentistry 2 15%
Mathematics 1 8%
Veterinary Science and Veterinary Medicine 1 8%
Other 2 15%
Unknown 1 8%
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 19 November 2014.
All research outputs
#15,310,749
of 22,771,140 outputs
Outputs from Methods in molecular biology
#5,318
of 13,090 outputs
Outputs of similar age
#133,039
of 226,167 outputs
Outputs of similar age from Methods in molecular biology
#39
of 146 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,090 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 226,167 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.