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A New Class of Allosteric HIV-1 Integrase Inhibitors Identified by Crystallographic Fragment Screening of the Catalytic Core Domain*

Overview of attention for article published in Journal of Biological Chemistry, September 2016
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Article details
Title
A New Class of Allosteric HIV-1 Integrase Inhibitors Identified by Crystallographic Fragment Screening of the Catalytic Core Domain*
Published in
Journal of Biological Chemistry, September 2016
DOI 10.1074/jbc.m116.753384
Pubmed ID
Authors
Abstract

HIV-1 integrase (IN) is essential for virus replication and represents an important multifunctional therapeutic target. Recently discovered quinoline-based allosteric IN inhibitors (ALLINIs) potently impair HIV-1 replication and are currently in clinical trials. ALLINIs exhibit a multimodal mechanism of action by inducing aberrant IN multimerization during virion morphogenesis and by competing with IN for binding to its cognate cellular cofactor LEDGF/p75 during early steps of HIV-1 infection. However, quinoline-based ALLINIs impose a low genetic barrier for the evolution of resistant phenotypes, which highlights a need for discovery of second-generation inhibitors. Using crystallographic screening of a library of 971 fragments against the HIV-1 IN catalytic core domain (CCD) followed by a fragment expansion approach, we have identified thiophenecarboxylic acid derivatives that bind at the CCD-CCD dimer interface at the principal LEDGF/p75 binding pocket. The most active fragment 5 inhibited LEDGF/p75-dependent HIV-1 IN activity in vitro with an IC50 of 72 μM and impaired HIV-1 infection of T cells at an EC50 of 36 μM. These findings are significant because the identified lead fragment with a relatively small molecular weight (221 Da) provides an optimal building block for developing a new class of inhibitors. Furthermore, while structurally distinct thiophenecarboxylic acid-derivatives target a similar pocket at the IN dimer interface as the quinoline-based ALLINIs, the lead fragment 5 inhibited IN mutants that confer resistance to quinoline-based compounds. Collectively, our findings provide a plausible path for structure-based development of second-generation ALLINIs.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Uruguay 1 2%
United Kingdom 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 14%
Student > Ph. D. Student 6 12%
Student > Master 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 2 4%
Other 4 8%
Unknown 21 43%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 18%
Chemistry 7 14%
Agricultural and Biological Sciences 4 8%
Medicine and Dentistry 3 6%
Immunology and Microbiology 2 4%
Other 3 6%
Unknown 21 43%
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 31 May 2017.
All research outputs
#18,190,270
of 28,294,345 outputs
Outputs from Journal of Biological Chemistry
#18,288
of 27,380 outputs
Outputs of similar age
#184,069
of 312,062 outputs
Outputs of similar age from Journal of Biological Chemistry
#217
of 381 outputs
Altmetric has tracked 28,294,345 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 27,380 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 30th percentile – i.e., 30% 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 312,062 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 381 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.