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Global low-frequency motions in protein allostery: CAP as a model system

Overview of attention for article published in Biophysical Reviews, February 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Citations

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32 Mendeley
Title
Global low-frequency motions in protein allostery: CAP as a model system
Published in
Biophysical Reviews, February 2015
DOI 10.1007/s12551-015-0163-9
Pubmed ID
Authors

Philip D. Townsend, Thomas L. Rodgers, Ehmke Pohl, Mark R. Wilson, Tom C. B. McLeish, Martin J. Cann

Abstract

Allostery is a fundamental process by which ligand binding to a protein alters its activity at a distant site. There is considerable evidence that allosteric cooperativity can be communicated by the modulation of protein dynamics without conformational change. The Catabolite Activator Protein (CAP) of Escherichia coli is an important experimental exemplar for entropically driven allostery. Here we discuss recent experimentally supported theoretical analysis that highlights the role of global low-frequency dynamics in allostery in CAP and identify how allostery arises as a natural consequence of changes in global low-frequency protein fluctuations on ligand binding.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 28%
Researcher 8 25%
Student > Postgraduate 3 9%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 5 16%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 28%
Chemistry 8 25%
Biochemistry, Genetics and Molecular Biology 8 25%
Physics and Astronomy 2 6%
Social Sciences 1 3%
Other 1 3%
Unknown 3 9%
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 09 February 2015.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Biophysical Reviews
#175
of 795 outputs
Outputs of similar age
#106,643
of 352,279 outputs
Outputs of similar age from Biophysical Reviews
#2
of 15 outputs
Altmetric has tracked 22,785,242 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 795 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 76% 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 352,279 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 54% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.