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Identification and characterization of a new type of inhibitor against the human immunodeficiency virus type-1 nucleocapsid protein

Overview of attention for article published in Retrovirology, November 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent

Citations

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9 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Identification and characterization of a new type of inhibitor against the human immunodeficiency virus type-1 nucleocapsid protein
Published in
Retrovirology, November 2015
DOI 10.1186/s12977-015-0218-9
Pubmed ID
Authors

Min-Jung Kim, Seon Hee Kim, Jung Ae Park, Kyung Lee Yu, Soo In Jang, Byung Soo Kim, Eun Soo Lee, Ji Chang You

Abstract

The human immunodeficiency virus type-1 (HIV-1) nucleocapsid protein (NC) is an essential and multifunctional protein involved in multiple stages of the viral life cycle such as reverse transcription, integration of proviral DNA, and especially genome RNA packaging. For this reason, it has been considered as an attractive target for the development of new anti-HIV drugs. Although a number of inhibitors of NC have been reported thus far, the search for NC-specific and functional inhibitor(s) with a good antiviral activity continues. In this study, we report the identification of A1752, a small molecule with inhibitory action against HIV-1 NC, which shows a strong antiviral efficacy and an IC50 around 1 μM. A1752 binds directly to HIV-1 NC, thereby inhibiting specific chaperone functions of NC including Psi RNA dimerization and complementary trans-activation response element (cTAR) DNA destabilization, and it also disrupts the proper Gag processing. Further analysis of the mechanisms of action of A1752 also showed that it generates noninfectious viral particles with defects in uncoating and reverse transcription in the infected cells. These results demonstrate that A1752 is a specific and functional inhibitor of NC with a novel mode of action and good antiviral efficacy. Thus, this agent provides a new type of anti-HIV NC inhibitor candidate for further drug development.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 3 20%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Lecturer 1 7%
Other 3 20%
Unknown 1 7%
Readers by discipline Count As %
Chemistry 5 33%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 2 13%
Engineering 2 13%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 November 2019.
All research outputs
#4,671,685
of 16,805,370 outputs
Outputs from Retrovirology
#250
of 904 outputs
Outputs of similar age
#79,774
of 289,092 outputs
Outputs of similar age from Retrovirology
#18
of 56 outputs
Altmetric has tracked 16,805,370 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 904 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 71% 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 289,092 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 71% of its contemporaries.
We're also able to compare this research output to 56 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 69% of its contemporaries.