Evidence map›Paper›PMID 23814130›Full record

ArticleGenome biology and evolution2013

Evolutionary rate heterogeneity of core and attachment proteins in yeast protein complexes.

Sandip Chakraborty, Tapash Chandra Ghosh

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2013. 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
0.9field-weighted citation impact, top 25% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
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  5. Article
  6. GECluster: a novel protein complex prediction method.Biotechnology, biotechnological equipment · 2014
    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

2 authors at 1 institution in 1 country.

Sandip ChakrabortyBioinformatics Centre, Bose Institute, Kolkata, West Bengal, India.
Tapash Chandra Ghosh
Bose Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In general, proteins do not work alone; they form macromolecular complexes to play fundamental roles in diverse cellular functions. On the basis of their iterative clustering procedure and frequency of occurrence in the macromolecular complexes, the protein subunits have been categorized as core and attachment. Core protein subunits are the main functional elements, whereas attachment proteins act as modifiers or activators in protein complexes. In this article, using the current data set of yeast protein complexes, we found that core proteins are evolving at a faster rate than attachment proteins in spite of their functional importance. Interestingly, our investigation revealed that attachment proteins are present in a higher number of macromolecular complexes than core proteins. We also observed that the protein complex number (defined as the number of protein complexes in which a protein subunit belongs) has a stronger influence on gene/protein essentiality than multifunctionality. Finally, our results suggest that the observed differences in the rates of protein evolution between core and attachment proteins are due to differences in protein complex number and expression level. Moreover, we conclude that proteins which are present in higher numbers of macromolecular complexes enhance their overall expression level by increasing their transcription rate as well as translation rate, and thus the protein complex number imposes a strong selection pressure on the evolution of yeast proteome.

Indexed as

Evolution, MolecularDatabases, ProteinFungal ProteinsGene Expression Regulation, FungalGenes, EssentialGenes, FungalMultiprotein ComplexesProtein Interaction MappingRegression AnalysisSaccharomycesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsFungal ProteinsMultiprotein ComplexesSaccharomyces cerevisiae Proteinsattachment proteincore proteinevolutionary rateprotein complexprotein complex numberyeast

Identifiers

PMID23814130
PMCPMC3730348
OpenAlexW2165228627

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.