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Effects of Acetylation and Phosphorylation on Subunit Interactions in Three Large Eukaryotic Complexes*

Overview of attention for article published in Molecular and Cellular Proteomics, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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Title
Effects of Acetylation and Phosphorylation on Subunit Interactions in Three Large Eukaryotic Complexes*
Published in
Molecular and Cellular Proteomics, September 2018
DOI 10.1074/mcp.ra118.000892
Pubmed ID
Authors

Nikolina Šoštarić, Francis J O'Reilly, Piero Giansanti, Albert J R Heck, Anne-Claude Gavin, Vera van Noort

Abstract

Protein post-translational modifications (PTMs) have an indispensable role in living cells as they expand chemical diversity of the proteome, providing a fine regulatory layer that can govern protein-protein interactions in changing environmental conditions. Here we investigated the effects of acetylation and phosphorylation on the stability of subunit interactions in purified Saccharomyces cerevisiae complexes, namely exosome, RNA polymerase II and proteasome. We propose a computational framework that consists of conformational sampling of the complexes by molecular dynamics simulations, followed by Gibbs energy calculation by MM/GBSA. After benchmarking against published tools such as FoldX and Mechismo, we could apply the framework for the first time on large protein assemblies with the aim of predicting the effects of PTMs located on interfaces of subunits on binding stability. We discovered that acetylation predominantly contributes to subunits' interactions in a locally stabilizing manner, while phosphorylation shows the opposite effect. Even though the local binding contributions of PTMs may be predictable to an extent, the long range effects and overall impact on subunits' binding were only captured due to our dynamical approach. Employing the developed, widely applicable workflow on other large systems will shed more light on the roles of PTMs in protein complex formation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Researcher 6 14%
Student > Bachelor 5 12%
Professor > Associate Professor 5 12%
Student > Master 4 10%
Other 7 17%
Unknown 7 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 45%
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 4 10%
Chemistry 2 5%
Immunology and Microbiology 1 2%
Other 3 7%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 30 March 2019.
All research outputs
#2,742,535
of 25,385,509 outputs
Outputs from Molecular and Cellular Proteomics
#449
of 3,221 outputs
Outputs of similar age
#54,218
of 345,275 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#19
of 47 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 85% of its peers.
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 345,275 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.