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Can the HIV-1 splicing machinery be targeted for drug discovery?

Overview of attention for article published in HIV/AIDS (Auckland, N.Z.), March 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#31 of 152)
  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
27 Mendeley
Title
Can the HIV-1 splicing machinery be targeted for drug discovery?
Published in
HIV/AIDS (Auckland, N.Z.), March 2017
DOI 10.2147/hiv.s120576
Pubmed ID
Authors

Zodwa Dlamini, Rodney Hull

Abstract

HIV-1 is able to express multiple protein types and isoforms from a single 9 kb mRNA transcript. These proteins are also expressed at particular stages of viral development, and this is achieved through the control of alternative splicing and the export of these transcripts from the nucleus. The nuclear export is controlled by the HIV protein Rev being required to transport incompletely spliced and partially spliced mRNA from the nucleus where they are normally retained. This implies a close relationship between the control of alternate splicing and the nuclear export of mRNA in the control of HIV-1 viral proliferation. This review discusses both the processes. The specificity and regulation of splicing in HIV-1 is controlled by the use of specific splice sites as well as exonic splicing enhancer and exonic splicing silencer sequences. The use of these silencer and enhancer sequences is dependent on the serine arginine family of proteins as well as the heterogeneous nuclear ribonucleoprotein family of proteins that bind to these sequences and increase or decrease splicing. Since alternative splicing is such a critical factor in viral development, it presents itself as a promising drug target. This review aims to discuss the inhibition of splicing, which would stall viral development, as an anti-HIV therapeutic strategy. In this review, the most recent knowledge of splicing in human immunodeficiency viral development and the latest therapeutic strategies targeting human immunodeficiency viral splicing are discussed.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Student > Bachelor 4 15%
Researcher 4 15%
Student > Master 4 15%
Student > Doctoral Student 3 11%
Other 5 19%
Unknown 1 4%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 41%
Agricultural and Biological Sciences 5 19%
Chemistry 3 11%
Immunology and Microbiology 2 7%
Computer Science 1 4%
Other 3 11%
Unknown 2 7%

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 13 March 2017.
All research outputs
#3,170,104
of 12,700,089 outputs
Outputs from HIV/AIDS (Auckland, N.Z.)
#31
of 152 outputs
Outputs of similar age
#78,676
of 252,319 outputs
Outputs of similar age from HIV/AIDS (Auckland, N.Z.)
#3
of 8 outputs
Altmetric has tracked 12,700,089 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 152 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 79% 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 252,319 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 68% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.