↓ Skip to main content

Structural Implications of Genotypic Variations in HIV-1 Integrase From Diverse Subtypes

Overview of attention for article published in Frontiers in Microbiology, August 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
42 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Structural Implications of Genotypic Variations in HIV-1 Integrase From Diverse Subtypes
Published in
Frontiers in Microbiology, August 2018
DOI 10.3389/fmicb.2018.01754
Pubmed ID
Authors

Leonard Rogers, Adetayo E. Obasa, Graeme B. Jacobs, Stefan G. Sarafianos, Anders Sönnerborg, Ujjwal Neogi, Kamalendra Singh

Abstract

Human immunodeficiency virus type 1 (HIV-1) integrase (IN) integrates viral DNA into the host genome using its 3'-end processing and strand-transfer activities. Due to the importance of HIV-1 IN, it is targeted by the newest class of approved drugs known as integrase strand transfer inhibitors (INSTIs). INSTIs are efficient in maintaining low viral load; however, as with other approved antivirals, resistance mutations emerge in patients receiving INSTI-containing therapy. As INSTIs are becoming increasingly accessible worldwide, it is important to understand the mechanism(s) of INSTI susceptibility. There is strong evidence suggesting differences in the patterns and mechanisms of drug resistance between HIV-1 subtype B, which dominates in United States, Western Europe and Australia, and non-B infections that are most prevalent in countries of Africa and Asia. IN polymorphisms and other genetic differences among diverse subtypes are likely responsible for these different patterns, but lack of a full-length high-resolution structure of HIV-1 IN has been a roadblock in understanding the molecular mechanisms of INSTI resistance and the impact of polymorphisms on therapy outcome. A recently reported full-length medium-resolution cryoEM structure of HIV-1 IN provides insights into understanding the mechanism of integrase function and the impact of genetic variation on the effectiveness of INSTIs. Here we use molecular modeling to explore the structural impact of IN polymorphisms on the IN reaction mechanism and INSTI susceptibility.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 21%
Student > Ph. D. Student 5 12%
Student > Bachelor 4 10%
Student > Doctoral Student 3 7%
Other 3 7%
Other 6 14%
Unknown 12 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 24%
Immunology and Microbiology 8 19%
Medicine and Dentistry 5 12%
Chemistry 2 5%
Agricultural and Biological Sciences 1 2%
Other 2 5%
Unknown 14 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 September 2018.
All research outputs
#15,015,838
of 23,098,660 outputs
Outputs from Frontiers in Microbiology
#14,039
of 25,274 outputs
Outputs of similar age
#198,693
of 331,122 outputs
Outputs of similar age from Frontiers in Microbiology
#437
of 743 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 331,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 743 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.