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Novel Predicted RNA-Binding Domains Associated with the Translation Machinery

Overview of attention for article published in Journal of Molecular Evolution, March 1999
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Title
Novel Predicted RNA-Binding Domains Associated with the Translation Machinery
Published in
Journal of Molecular Evolution, March 1999
DOI 10.1007/pl00006472
Pubmed ID
Authors

L. Aravind, Eugene V. Koonin

Abstract

Two previously undetected domains were identified in a variety of RNA-binding proteins, particularly RNA-modifying enzymes, using methods for sequence profile analysis. A small domain consisting of 60-65 amino acid residues was detected in the ribosomal protein S4, two families of pseudouridine synthases, a novel family of predicted RNA methylases, a yeast protein containing a pseudouridine synthetase and a deaminase domain, bacterial tyrosyl-tRNA synthetases, and a number of uncharacterized, small proteins that may be involved in translation regulation. Another novel domain, designated PUA domain, after PseudoUridine synthase and Archaeosine transglycosylase, was detected in archaeal and eukaryotic pseudouridine synthases, archaeal archaeosine synthases, a family of predicted ATPases that may be involved in RNA modification, a family of predicted archaeal and bacterial rRNA methylases. Additionally, the PUA domain was detected in a family of eukaryotic proteins that also contain a domain homologous to the translation initiation factor eIF1/SUI1; these proteins may comprise a novel type of translation factors. Unexpectedly, the PUA domain was detected also in bacterial and yeast glutamate kinases; this is compatible with the demonstrated role of these enzymes in the regulation of the expression of other genes. We propose that the S4 domain and the PUA domain bind RNA molecules with complex folded structures, adding to the growing collection of nucleic acid-binding domains associated with DNA and RNA modification enzymes. The evolution of the translation machinery components containing the S4, PUA, and SUI1 domains must have included several events of lateral gene transfer and gene loss as well as lineage-specific domain fusions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 93 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 18 18%
Student > Master 13 13%
Professor > Associate Professor 11 11%
Student > Bachelor 10 10%
Other 12 12%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 45%
Biochemistry, Genetics and Molecular Biology 28 29%
Chemistry 6 6%
Immunology and Microbiology 2 2%
Veterinary Science and Veterinary Medicine 1 1%
Other 3 3%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 May 2011.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Journal of Molecular Evolution
#492
of 1,477 outputs
Outputs of similar age
#11,698
of 35,892 outputs
Outputs of similar age from Journal of Molecular Evolution
#6
of 9 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,477 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 29th percentile – i.e., 29% 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 35,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.