Evidence map›Paper›PMID 25927816›Full record

ArticleMetabolites2015

Footprints of optimal protein assembly strategies in the operonic structure of prokaryotes.

Jan Ewald, Martin Kötzing, Martin Bartl, Christoph Kaleta

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Modelling the host-pathogen interactions of macrophages andJournal of the Royal Society, Interface · 2017
    Article
  4. Article
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

4 authors at 1 institution in 1 country.

Jan EwaldResearch Group Theoretical Systems Biology, Friedrich-Schiller-Universität Jena, Leutragraben 1, 07743 Jena, Germany. jan.ewald@uni-jena.de.
Martin KötzingResearch Group Theoretical Systems Biology, Friedrich-Schiller-Universität Jena, Leutragraben 1, 07743 Jena, Germany. martin.koetzing@uni-jena.de.
Martin BartlResearch Group Theoretical Systems Biology, Friedrich-Schiller-Universität Jena, Leutragraben 1, 07743 Jena, Germany. martin.bartl@uni-jena.de.
Christoph KaletaResearch Group Theoretical Systems Biology, Friedrich-Schiller-Universität Jena, Leutragraben 1, 07743 Jena, Germany. c.kaleta@iem.uni-kiel.de.
Friedrich Schiller University Jena · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we investigate optimality principles behind synthesis strategies for protein complexes using a dynamic optimization approach. We show that the cellular capacity of protein synthesis has a strong influence on optimal synthesis strategies reaching from a simultaneous to a sequential synthesis of the subunits of a protein complex. Sequential synthesis is preferred if protein synthesis is strongly limited, whereas a simultaneous synthesis is optimal in situations with a high protein synthesis capacity. We confirm the predictions of our optimization approach through the analysis of the operonic organization of protein complexes in several hundred prokaryotes. Thereby, we are able to show that cellular protein synthesis capacity is a driving force in the dissolution of operons comprising the subunits of a protein complex. Thus, we also provide a tested hypothesis explaining why the subunits of many prokaryotic protein complexes are distributed across several operons despite the presumably less precise co-regulation.

Identifiers

PMID25927816
PMCPMC4495372
OpenAlexW2010765173

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.