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Conserved antigenic sites between MERS-CoV and Bat-coronavirus are revealed through sequence analysis

Overview of attention for article published in Source Code for Biology and Medicine, March 2016
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Title
Conserved antigenic sites between MERS-CoV and Bat-coronavirus are revealed through sequence analysis
Published in
Source Code for Biology and Medicine, March 2016
DOI 10.1186/s13029-016-0049-7
Pubmed ID
Authors

Refat Sharmin, Abul B. M. M. K. Islam

Abstract

MERS-CoV is a newly emerged human coronavirus reported closely related with HKU4 and HKU5 Bat coronaviruses. Bat and MERS corona-viruses are structurally related. Therefore, it is of interest to estimate the degree of conserved antigenic sites among them. It is of importance to elucidate the shared antigenic-sites and extent of conservation between them to understand the evolutionary dynamics of MERS-CoV. Multiple sequence alignment of the spike (S), membrane (M), enveloped (E) and nucleocapsid (N) proteins was employed to identify the sequence conservation among MERS and Bat (HKU4, HKU5) coronaviruses. We used various in silico tools to predict the conserved antigenic sites. We found that MERS-CoV shared 30 % of its S protein antigenic sites with HKU4 and 70 % with HKU5 bat-CoV. Whereas 100 % of its E, M and N protein's antigenic sites are found to be conserved with those in HKU4 and HKU5. This sharing suggests that in case of pathogenicity MERS-CoV is more closely related to HKU5 bat-CoV than HKU4 bat-CoV. The conserved epitopes indicates their evolutionary relationship and ancestry of pathogenicity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 8 17%
Student > Bachelor 6 13%
Student > Ph. D. Student 4 9%
Other 2 4%
Other 9 20%
Unknown 8 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Medicine and Dentistry 7 15%
Agricultural and Biological Sciences 4 9%
Mathematics 3 7%
Nursing and Health Professions 2 4%
Other 8 17%
Unknown 11 24%
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 25 May 2023.
All research outputs
#18,563,902
of 23,839,820 outputs
Outputs from Source Code for Biology and Medicine
#97
of 127 outputs
Outputs of similar age
#207,523
of 302,427 outputs
Outputs of similar age from Source Code for Biology and Medicine
#5
of 5 outputs
Altmetric has tracked 23,839,820 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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