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Development of RNA aptamer that inhibits methyltransferase activity of dengue virus

Overview of attention for article published in Biotechnology Techniques, October 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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1 X user
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1 Facebook page

Citations

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38 Mendeley
Title
Development of RNA aptamer that inhibits methyltransferase activity of dengue virus
Published in
Biotechnology Techniques, October 2017
DOI 10.1007/s10529-017-2462-7
Pubmed ID
Authors

Jae In Jung, Seung Ryul Han, Seong-Wook Lee

Abstract

To develop an RNA aptamer specific for the methyltransferase (MTase) of dengue virus (DENV) which is essential for viral genome replication and translation acting directly on N-7 and 2'-O-methylation of the type-I cap structure of the viral RNA. We identified 2'-fluoro-modified RNA aptamers that can specifically bind DENV serotype 2 (DENV2) MTase using systematic evolution of ligands by exponential enrichment technology. We truncated the chosen aptamer into a 45-mer RNA sequence that can bind DENV2 MTase with K d  ~ 28 nM and inhibit N-7 methylation activity of the protein. Moreover, the 45-mer truncated aptamer could not only bind with an K d  ~ 15.6 nM but also inhibit methylation activity of DENV serotype 3 (DENV3) MTase. The 45-mer aptamer competitively impeded binding of both DENV2 and DENV3 genomic RNA to MTase of each serotype. The selected 45-mer truncated RNA aptamer specifically and avidly bound DENV MTase and competitively inhibited its methylation activity, and thus could be useful for the development of anti-DENV agents.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 6 16%
Student > Bachelor 4 11%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 5 13%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 24%
Agricultural and Biological Sciences 5 13%
Immunology and Microbiology 2 5%
Chemistry 2 5%
Unspecified 1 3%
Other 4 11%
Unknown 15 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 December 2020.
All research outputs
#7,208,166
of 25,382,440 outputs
Outputs from Biotechnology Techniques
#741
of 2,762 outputs
Outputs of similar age
#109,677
of 338,323 outputs
Outputs of similar age from Biotechnology Techniques
#5
of 18 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,762 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 72% 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 338,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 18 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.