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In silico design of a Zika virus non-structural protein 5 aiming vaccine protection against zika and dengue in different human populations

Overview of attention for article published in Journal of Biomedical Science, November 2017
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Mentioned by

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3 tweeters

Citations

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8 Dimensions

Readers on

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51 Mendeley
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Title
In silico design of a Zika virus non-structural protein 5 aiming vaccine protection against zika and dengue in different human populations
Published in
Journal of Biomedical Science, November 2017
DOI 10.1186/s12929-017-0395-z
Pubmed ID
Authors

Lorrany dos Santos Franco, Paloma Oliveira Vidal, Jaime Henrique Amorim

Abstract

The arboviruses Zika virus (ZIKV) and Dengue virus (DENV) have important epidemiological impact in Brazil and other tropical regions of the world. Recently, it was shown that previous humoral immunity to DENV enhances ZIKV replication in vitro, which may lead to more severe forms of the disease. Thus, traditional approaches of vaccine development aiming to control viral infection through neutralizing antibodies may induce cross-reactive enhancing antibodies. In contrast, cellular immune response was shown to be capable of controlling DENV infection independently of antibodies. The aim of the present study was to design a flavivirus NS5 protein capable of inducing a cellular immune response against DENV and ZIKV. A consensus sequence of ZIKV NS5 protein was designed among isolates from various continents. Epitopes were predicted for the most prevalent alleles of class I and II HLA in the Brazilian population. Then, this epitopes were analyzed with regard to their conservation, population coverage and distribution along the whole antigen. Nineteen epitopes predicted to be more reactive (percentile rank <1) and 100% conserved among ZIKV and DENV serotypes were selected. The distribution of such epitopes along the protein was shown on a three-dimensional model and population coverage was calculated for different regions of the world. The designed protein was predicted to be stable and the distribution of selected epitopes was shown to be homogeneous along domains. The population coverage of selected epitopes was higher than 50% for most of tropical areas of the world. Such results indicate that the proposed antigen has the potential to induce protective cellular immune response to ZIKV and DENV in different human populations of the world.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 27%
Student > Bachelor 9 18%
Researcher 9 18%
Student > Ph. D. Student 5 10%
Student > Doctoral Student 3 6%
Other 4 8%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 18%
Medicine and Dentistry 8 16%
Immunology and Microbiology 7 14%
Biochemistry, Genetics and Molecular Biology 6 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 6 12%
Unknown 12 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 December 2017.
All research outputs
#7,288,214
of 12,265,937 outputs
Outputs from Journal of Biomedical Science
#400
of 619 outputs
Outputs of similar age
#173,558
of 344,135 outputs
Outputs of similar age from Journal of Biomedical Science
#8
of 29 outputs
Altmetric has tracked 12,265,937 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 619 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 35th percentile – i.e., 35% 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 344,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 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 72% of its contemporaries.