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Dengue and Zika: Control and Antiviral Treatment Strategies

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Cover of 'Dengue and Zika: Control and Antiviral Treatment Strategies'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Arboviruses: A Family on the Move
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    Chapter 2 Historical Perspective of Arboviruses in Mozambique and Its Implication for Current and Future Epidemics
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    Chapter 3 Reliable Serological Testing for the Diagnosis of Emerging Infectious Diseases
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    Chapter 4 Flaviviral RNA Structures and Their Role in Replication and Immunity
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    Chapter 5 The Molecular Specificity of the Human Antibody Response to Dengue Virus Infections
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    Chapter 6 Structures of Zika Virus E & NS1: Relations with Virus Infection and Host Immune Responses
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    Chapter 7 Plugging the Leak in Dengue Shock
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    Chapter 8 Viral Entry and NS1 as Potential Antiviral Drug Targets
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    Chapter 9 The Dengue Virus Replication Complex: From RNA Replication to Protein-Protein Interactions to Evasion of Innate Immunity
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    Chapter 10 The Structure of the Zika Virus Protease, NS2B/NS3pro
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    Chapter 11 The Transactions of NS3 and NS5 in Flaviviral RNA Replication
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    Chapter 12 Establishment and Application of Flavivirus Replicons
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    Chapter 13 Strategies Towards Protease Inhibitors for Emerging Flaviviruses
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    Chapter 14 Discovery of Potent Non-nucleoside Inhibitors of Dengue Viral RNA-Dependent RNA Polymerase from Fragment Screening and Structure-Guided Design
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    Chapter 15 Nucleocytoplasmic Trafficking of Dengue Non-structural Protein 5 as a Target for Antivirals
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    Chapter 16 Animal Models for Dengue and Zika Vaccine Development
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    Chapter 17 Understanding the Human T Cell Response to Dengue Virus
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    Chapter 18 Regulation and Function of NK and T Cells During Dengue Virus Infection and Vaccination
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    Chapter 19 Structural Insights into the Broad-Spectrum Antiviral Target Endoplasmic Reticulum Alpha-Glucosidase II
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    Chapter 20 Mechanisms of Antiviral Activity of Iminosugars Against Dengue Virus
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    Chapter 21 Countering Zika Virus: The USAMRIID Response
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    Chapter 22 Dengue Antiviral Development: A Continuing Journey
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    Chapter 23 An Industry Perspective on Dengue Drug Discovery and Development
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    Chapter 24 The Use of Wolbachia by the World Mosquito Program to Interrupt Transmission of Aedes aegypti Transmitted Viruses
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    Chapter 25 Seroepidemiological Studies of Arboviruses in Africa
Attention for Chapter 13: Strategies Towards Protease Inhibitors for Emerging Flaviviruses
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Chapter title
Strategies Towards Protease Inhibitors for Emerging Flaviviruses
Chapter number 13
Book title
Dengue and Zika: Control and Antiviral Treatment Strategies
Published in
Advances in experimental medicine and biology, January 2018
DOI 10.1007/978-981-10-8727-1_13
Pubmed ID
Book ISBNs
978-9-81-108726-4, 978-9-81-108727-1
Authors

Christoph Nitsche, Nitsche, Christoph

Abstract

Infections with flaviviruses are a continuing public health threat. In addition to vaccine development and vector control, the search for antiviral agents that alleviate symptoms in patients are of considerable interest. Among others, the flaviviral protease NS2B-NS3 is a promising drug target to inhibit viral replication. Flaviviral proteases share a high degree of structural similarity and substrate-recognition profile, which may facilitate a strategy towards development of pan-flaviviral protease inhibitors. However, the success of various drug discovery attempts during the last decade has been limited by the nature of the viral enzyme as well as a lack of robust structural templates. Small-molecular, structurally diverse protease inhibitors have been reported to reach affinities in the lower micromolar range. Peptide-based, substrate-derived compounds are often nanomolar inhibitors, however, with highly compromised drug-likeness. With some exceptions, the antiviral cellular activity of most of the reported compounds have been patchy and insufficient for further development. Recent progress has been made in the elucidation of inhibitor binding using different structural methods. This will hopefully lead to more rational attempts for the identification of various lead compounds that may be successful in cellular assays, animal models and ultimately translated to patients.

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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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Researcher 6 15%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Student > Ph. D. Student 3 8%
Other 4 10%
Unknown 11 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 15%
Chemistry 6 15%
Immunology and Microbiology 4 10%
Medicine and Dentistry 3 8%
Agricultural and Biological Sciences 1 3%
Other 3 8%
Unknown 16 41%
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 31 May 2018.
All research outputs
#18,633,675
of 23,083,773 outputs
Outputs from Advances in experimental medicine and biology
#3,334
of 4,976 outputs
Outputs of similar age
#330,825
of 442,614 outputs
Outputs of similar age from Advances in experimental medicine and biology
#154
of 237 outputs
Altmetric has tracked 23,083,773 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 4,976 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 19th percentile – i.e., 19% 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 442,614 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.