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Short Linear Motifs recognized by SH2, SH3 and Ser/Thr Kinase domains are conserved in disordered protein regions

Overview of attention for article published in BMC Genomics, September 2008
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Title
Short Linear Motifs recognized by SH2, SH3 and Ser/Thr Kinase domains are conserved in disordered protein regions
Published in
BMC Genomics, September 2008
DOI 10.1186/1471-2164-9-s2-s26
Pubmed ID
Authors

Siyuan Ren, Vladimir N Uversky, Zhengjun Chen, A Keith Dunker, Zoran Obradovic

Abstract

Protein interactions are essential for most cellular functions. Interactions mediated by domains that appear in a large number of proteins are of particular interest since they are expected to have an impact on diversities of cellular processes such as signal transduction and immune response. Many well represented domains recognize and bind to primary sequences less than 10 amino acids in length called Short Linear Motifs (SLiMs). In this study, we systematically studied the evolutionary conservation of SLiMs recognized by SH2, SH3 and Ser/Thr Kinase domains in both ordered and disordered protein regions. Disordered protein regions are protein sequences that lack a fixed three-dimensional structure under putatively native conditions. We find that, in all these domains examined, SLiMs are more conserved in disordered regions. This trend is more evident in those protein functional groups that are frequently reported to interact with specific domains. The correlation between SLiM conservation with disorder prediction demonstrates that functional SLiMs recognized by each domain occur more often in disordered as compared to structured regions of proteins.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Japan 2 2%
United States 2 2%
Russia 1 1%
Brazil 1 1%
Denmark 1 1%
Poland 1 1%
Unknown 71 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 27%
Researcher 18 22%
Student > Master 10 12%
Student > Bachelor 8 10%
Other 4 5%
Other 8 10%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 41%
Biochemistry, Genetics and Molecular Biology 18 22%
Chemistry 8 10%
Computer Science 4 5%
Medicine and Dentistry 2 2%
Other 4 5%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 June 2013.
All research outputs
#7,541,834
of 23,008,860 outputs
Outputs from BMC Genomics
#3,631
of 10,698 outputs
Outputs of similar age
#27,027
of 74,991 outputs
Outputs of similar age from BMC Genomics
#15
of 32 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,698 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% 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 74,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.