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Structural disorder of plasmid-encoded proteins in Bacteria and Archaea

Overview of attention for article published in BMC Bioinformatics, April 2018
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Title
Structural disorder of plasmid-encoded proteins in Bacteria and Archaea
Published in
BMC Bioinformatics, April 2018
DOI 10.1186/s12859-018-2158-6
Pubmed ID
Authors

Nenad S. Mitić, Saša N. Malkov, Jovana J. Kovačević, Gordana M. Pavlović-Lažetić, Miloš V. Beljanski

Abstract

In the last decade and a half it has been firmly established that a large number of proteins do not adopt a well-defined (ordered) structure under physiological conditions. Such intrinsically disordered proteins (IDPs) and intrinsically disordered (protein) regions (IDRs) are involved in essential cell processes through two basic mechanisms: the entropic chain mechanism which is responsible for rapid fluctuations among many alternative conformations, and molecular recognition via short recognition elements that bind to other molecules. IDPs possess a high adaptive potential and there is special interest in investigating their involvement in organism evolution. We analyzed 2554 Bacterial and 139 Archaeal proteomes, with a total of 8,455,194 proteins for disorder content and its implications for adaptation of organisms, using three disorder predictors and three measures. Along with other findings, we revealed that for all three predictors and all three measures (1) Bacteria exhibit significantly more disorder than Archaea; (2) plasmid-encoded proteins contain considerably more IDRs than proteins encoded on chromosomes (or whole genomes) in both prokaryote superkingdoms; (3) plasmid proteins are significantly more disordered than chromosomal proteins only in the group of proteins with no COG category assigned; (4) antitoxin proteins in comparison to other proteins, are the most disordered (almost double) in both Bacterial and Archaeal proteomes; (5) plasmidal proteins are more disordered than chromosomal proteins in Bacterial antitoxins and toxin-unclassified proteins, but have almost the same disorder content in toxin proteins. Our results suggest that while disorder content depends on genome and proteome characteristics, it is more influenced by functional engagements than by gene location (on chromosome or plasmid).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Student > Ph. D. Student 5 20%
Student > Bachelor 4 16%
Student > Master 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 6 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 48%
Agricultural and Biological Sciences 3 12%
Immunology and Microbiology 2 8%
Chemistry 1 4%
Materials Science 1 4%
Other 0 0%
Unknown 6 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 April 2018.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from BMC Bioinformatics
#6,354
of 7,319 outputs
Outputs of similar age
#253,374
of 326,539 outputs
Outputs of similar age from BMC Bioinformatics
#69
of 97 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,319 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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