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The complex domain architecture of SAMD9 family proteins, predicted STAND-like NTPases, suggests new links to inflammation and apoptosis

Overview of attention for article published in Biology Direct, May 2017
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Title
The complex domain architecture of SAMD9 family proteins, predicted STAND-like NTPases, suggests new links to inflammation and apoptosis
Published in
Biology Direct, May 2017
DOI 10.1186/s13062-017-0185-2
Pubmed ID
Authors

Sergei L. Mekhedov, Kira S. Makarova, Eugene V. Koonin

Abstract

We report a comprehensive computational dissection of the domain architecture of the SAMD9 family proteins that are involved in antivirus and antitumor response in humans. We show that the SAMD9 protein family is represented in most animals and also, unexpectedly, in bacteria, in particular actinomycetes. From the N to C terminus, the core SAMD9 family architecture includes DNA/RNA-binding AlbA domain, a variant Sir2-like domain, a STAND-like P-loop NTPase, an array of TPR repeats and an OB-fold domain with predicted RNA-binding properties. Vertebrate SAMD9 family proteins contain the eponymous SAM domain capable of polymerization, whereas some family members from other animals instead contain homotypic adaptor domains of the DEATH superfamily, known as dedicated components of apoptosis networks. Such complex domain architecture is reminiscent of the STAND superfamily NTPases that are involved in various signaling processes, including programmed cell death, in both eukaryotes and prokaryotes. These findings suggest that SAMD9 is a hub of a novel, evolutionarily conserved defense network that remains to be characterized. This article was reviewed by Igor B. Zhulin and Mensur Dlakic.

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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 %
Researcher 8 21%
Student > Master 6 16%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Professor > Associate Professor 2 5%
Other 2 5%
Unknown 14 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 29%
Medicine and Dentistry 4 11%
Immunology and Microbiology 3 8%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 8%
Unknown 15 39%
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 10 January 2018.
All research outputs
#14,349,470
of 22,977,819 outputs
Outputs from Biology Direct
#337
of 487 outputs
Outputs of similar age
#175,371
of 313,682 outputs
Outputs of similar age from Biology Direct
#4
of 6 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 27th percentile – i.e., 27% 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 313,682 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.