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Contextual Specificity in Peptide-Mediated Protein Interactions

Overview of attention for article published in PLOS ONE, July 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
3 blogs

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
146 Mendeley
citeulike
5 CiteULike
connotea
1 Connotea
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Title
Contextual Specificity in Peptide-Mediated Protein Interactions
Published in
PLOS ONE, July 2008
DOI 10.1371/journal.pone.0002524
Pubmed ID
Authors

Amelie Stein, Patrick Aloy

Abstract

Most biological processes are regulated through complex networks of transient protein interactions where a globular domain in one protein recognizes a linear peptide from another, creating a relatively small contact interface. Although sufficient to ensure binding, these linear motifs alone are usually too short to achieve the high specificity observed, and additional contacts are often encoded in the residues surrounding the motif (i.e. the context). Here, we systematically identified all instances of peptide-mediated protein interactions of known three-dimensional structure and used them to investigate the individual contribution of motif and context to the global binding energy. We found that, on average, the context is responsible for roughly 20% of the binding and plays a crucial role in determining interaction specificity, by either improving the affinity with the native partner or impeding non-native interactions. We also studied and quantified the topological and energetic variability of interaction interfaces, finding a much higher heterogeneity in the context residues than in the consensus binding motifs. Our analysis partially reveals the molecular mechanisms responsible for the dynamic nature of peptide-mediated interactions, and suggests a global evolutionary mechanism to maximise the binding specificity. Finally, we investigated the viability of non-native interactions and highlight cases of potential cross-reaction that might compensate for individual protein failure and establish backup circuits to increase the robustness of cell networks.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 4 3%
United Kingdom 3 2%
Poland 3 2%
United States 3 2%
Israel 1 <1%
India 1 <1%
Denmark 1 <1%
Australia 1 <1%
Germany 1 <1%
Other 1 <1%
Unknown 127 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 36%
Researcher 29 20%
Student > Master 12 8%
Student > Doctoral Student 9 6%
Student > Bachelor 9 6%
Other 24 16%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 40%
Biochemistry, Genetics and Molecular Biology 40 27%
Chemistry 20 14%
Computer Science 8 5%
Engineering 4 3%
Other 3 2%
Unknown 13 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 25 September 2010.
All research outputs
#1,938,181
of 22,655,397 outputs
Outputs from PLOS ONE
#24,899
of 193,429 outputs
Outputs of similar age
#5,108
of 81,648 outputs
Outputs of similar age from PLOS ONE
#82
of 469 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,429 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 87% 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 81,648 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 469 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.