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Detection of methylation, acetylation and glycosylation of protein residues by monitoring 13C chemical-shift changes: A quantum-chemical study

Overview of attention for article published in PeerJ, July 2016
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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4 X users
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4 Wikipedia pages

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7 Dimensions

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Title
Detection of methylation, acetylation and glycosylation of protein residues by monitoring 13C chemical-shift changes: A quantum-chemical study
Published in
PeerJ, July 2016
DOI 10.7717/peerj.2253
Pubmed ID
Authors

Pablo G. Garay, Osvaldo A. Martin, Harold A. Scheraga, Jorge A. Vila

Abstract

Post-translational modifications of proteins expand the diversity of the proteome by several orders of magnitude and have a profound effect on several biological processes. Their detection by experimental methods is not free of limitations such as the amount of sample needed or the use of destructive procedures to obtain the sample. Certainly, new approaches are needed and, therefore, we explore here the feasibility of using (13)C chemical shifts of different nuclei to detect methylation, acetylation and glycosylation of protein residues by monitoring the deviation of the (13)C chemical shifts from the expected (mean) experimental value of the non-modified residue. As a proof-of-concept, we used (13)C chemical shifts, computed at the DFT-level of theory, to test this hypothesis. Moreover, as a validation test of this approach, we compare our theoretical computations of the (13)Cε chemical-shift values against existing experimental data, obtained from NMR spectroscopy, for methylated and acetylated lysine residues with good agreement within ∼1 ppm. Then, further use of this approach to select the most suitable (13)C-nucleus, with which to determine other modifications commonly seen, such as methylation of arginine and glycosylation of serine, asparagine and threonine, shows encouraging results.

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X Demographics

The data shown below were collected from the profiles of 4 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 42%
Student > Ph. D. Student 4 33%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 42%
Agricultural and Biological Sciences 2 17%
Chemistry 2 17%
Neuroscience 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 March 2024.
All research outputs
#6,457,669
of 25,318,210 outputs
Outputs from PeerJ
#5,148
of 15,085 outputs
Outputs of similar age
#102,504
of 374,414 outputs
Outputs of similar age from PeerJ
#121
of 310 outputs
Altmetric has tracked 25,318,210 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 15,085 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has gotten more attention than average, scoring higher than 65% 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 374,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 310 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 60% of its contemporaries.