↓ Skip to main content

Dove Medical Press

In silico-based vaccine design against Ebola virus glycoprotein

Overview of attention for article published in Advances and Applications in Bioinformatics and Chemistry : AABC, March 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
2 X users
patent
2 patents
video
1 YouTube creator

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
103 Mendeley
Title
In silico-based vaccine design against Ebola virus glycoprotein
Published in
Advances and Applications in Bioinformatics and Chemistry : AABC, March 2017
DOI 10.2147/aabc.s115859
Pubmed ID
Authors

Raju Dash, Rasel Das, Md Junaid, Md Forhad Chowdhury Akash, Ashekul Islam, Sm Zahid Hosen

Abstract

Ebola virus (EBOV) is one of the lethal viruses, causing more than 24 epidemic outbreaks to date. Despite having available molecular knowledge of this virus, no definite vaccine or other remedial agents have been developed yet for the management and avoidance of EBOV infections in humans. Disclosing this, the present study described an epitope-based peptide vaccine against EBOV, using a combination of B-cell and T-cell epitope predictions, followed by molecular docking and molecular dynamics simulation approach. Here, protein sequences of all glycoproteins of EBOV were collected and examined via in silico methods to determine the most immunogenic protein. From the identified antigenic protein, the peptide region ranging from 186 to 220 and the sequence HKEGAFFLY from the positions of 154-162 were considered the most potential B-cell and T-cell epitopes, correspondingly. Moreover, this peptide (HKEGAFFLY) interacted with HLA-A*32:15 with the highest binding energy and stability, and also a good conservancy of 83.85% with maximum population coverage. The results imply that the designed epitopes could manifest vigorous enduring defensive immunity against EBOV.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 20%
Student > Master 17 17%
Student > Bachelor 15 15%
Researcher 14 14%
Student > Doctoral Student 3 3%
Other 8 8%
Unknown 25 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 32%
Agricultural and Biological Sciences 15 15%
Immunology and Microbiology 7 7%
Chemistry 4 4%
Computer Science 3 3%
Other 10 10%
Unknown 31 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 11 December 2020.
All research outputs
#4,574,148
of 25,382,440 outputs
Outputs from Advances and Applications in Bioinformatics and Chemistry : AABC
#2
of 55 outputs
Outputs of similar age
#75,696
of 324,443 outputs
Outputs of similar age from Advances and Applications in Bioinformatics and Chemistry : AABC
#1
of 4 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 55 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 96% of its peers.
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 324,443 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them