Evidence map›Paper›PMID 29699482›Full record

ArticleBMC bioinformatics2018

Structural disorder of plasmid-encoded proteins in Bacteria and Archaea.

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

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Nenad S MitićDepartment of Computer Science, Faculty of Mathematics, University of Belgrade, P.O.B. 550 Studentski trg 16, Belgrade, 11001, Serbia. nenad@matf.bg.ac.rs.
Saša N MalkovDepartment of Computer Science, Faculty of Mathematics, University of Belgrade, P.O.B. 550 Studentski trg 16, Belgrade, 11001, Serbia.
Jovana J KovačevićDepartment of Computer Science, Faculty of Mathematics, University of Belgrade, P.O.B. 550 Studentski trg 16, Belgrade, 11001, Serbia.
Gordana M Pavlović-LažetićDepartment of Computer Science, Faculty of Mathematics, University of Belgrade, P.O.B. 550 Studentski trg 16, Belgrade, 11001, Serbia.
Miloš V BeljanskiBio-lab, Institute of General and Physical Chemistry, P.O.B. 45, Studentski trg 12/V, Belgrade, 11001, Serbia.
University of Belgrade · RSInstitute of General and Physical Chemistry · RS

Funding

Ministry of Education, Science and Technological Development, Republic of Serbia 174021
6 · The paper itself

Abstract

backgroundIn 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.

resultsWe 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.

conclusionOur 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).

Indexed as

ArchaeaArchaeal ProteinsBacteriaBacterial ProteinsChromosomes, ArchaealChromosomes, BacterialIntrinsically Disordered ProteinsPlasmidsProteomeToxins, BiologicalArchaeal ProteinsBacterial ProteinsIntrinsically Disordered ProteinsProteomeToxins, BiologicalBacteria and ArchaeaIntrinsically disordered proteinsPlasmid-encoded proteinsToxin/antitoxin

Identifiers

PMID29699482
PMCPMC5922023
OpenAlexW2806220283

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.