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Two-State Allosteric Behavior in a Single-Domain Signaling Protein

Overview of attention for article published in Science, March 2001
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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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

blogs
1 blog
patent
2 patents

Readers on

mendeley
345 Mendeley
citeulike
4 CiteULike
connotea
2 Connotea
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Article details
Title
Two-State Allosteric Behavior in a Single-Domain Signaling Protein
Published in
Science, March 2001
DOI 10.1126/science.291.5512.2429
Pubmed ID
Authors
Abstract

Protein actions are usually discussed in terms of static structures, but function requires motion. We find a strong correlation between phosphorylation-driven activation of the signaling protein NtrC and microsecond time-scale backbone dynamics. Using nuclear magnetic resonance relaxation, we characterized the motions of NtrC in three functional states: unphosphorylated (inactive), phosphorylated (active), and a partially active mutant. These dynamics are indicative of exchange between inactive and active conformations. Both states are populated in unphosphorylated NtrC, and phosphorylation shifts the equilibrium toward the active species. These results support a dynamic population shift between two preexisting conformations as the underlying mechanism of activation.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 13 4%
Germany 3 <1%
Norway 2 <1%
Argentina 2 <1%
Turkey 1 <1%
Netherlands 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Other 4 1%
Unknown 316 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 91 26%
Student > Ph. D. Student 89 26%
Professor 24 7%
Professor > Associate Professor 24 7%
Student > Bachelor 20 6%
Other 62 18%
Unknown 35 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 130 38%
Biochemistry, Genetics and Molecular Biology 73 21%
Chemistry 51 15%
Physics and Astronomy 20 6%
Engineering 8 2%
Other 20 6%
Unknown 43 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 08 January 2026.
All research outputs
#5,554,203
of 32,023,687 outputs
Outputs from Science
#44,774
of 91,779 outputs
Outputs of similar age
#10,777
of 58,489 outputs
Outputs of similar age from Science
#134
of 306 outputs
Altmetric has tracked 32,023,687 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 91,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has gotten more attention than average, scoring higher than 50% 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 58,489 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 80% of its contemporaries.
We're also able to compare this research output to 306 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 54% of its contemporaries.