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Conformational Spread in the Flagellar Motor Switch: A Model Study

Overview of attention for article published in PLoS Computational Biology, May 2012
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Title
Conformational Spread in the Flagellar Motor Switch: A Model Study
Published in
PLoS Computational Biology, May 2012
DOI 10.1371/journal.pcbi.1002523
Pubmed ID
Authors

Qi Ma, Dan V. Nicolau, Philip K. Maini, Richard M. Berry, Fan Bai

Abstract

The reliable response to weak biological signals requires that they be amplified with fidelity. In E. coli, the flagellar motors that control swimming can switch direction in response to very small changes in the concentration of the signaling protein CheY-P, but how this works is not well understood. A recently proposed allosteric model based on cooperative conformational spread in a ring of identical protomers seems promising as it is able to qualitatively reproduce switching, locked state behavior and Hill coefficient values measured for the rotary motor. In this paper we undertook a comprehensive simulation study to analyze the behavior of this model in detail and made predictions on three experimentally observable quantities: switch time distribution, locked state interval distribution, Hill coefficient of the switch response. We parameterized the model using experimental measurements, finding excellent agreement with published data on motor behavior. Analysis of the simulated switching dynamics revealed a mechanism for chemotactic ultrasensitivity, in which cooperativity is indispensable for realizing both coherent switching and effective amplification. These results showed how cells can combine elements of analog and digital control to produce switches that are simultaneously sensitive and reliable.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 9 18%
Student > Master 9 18%
Student > Bachelor 4 8%
Professor 2 4%
Other 5 10%
Unknown 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Physics and Astronomy 9 18%
Biochemistry, Genetics and Molecular Biology 9 18%
Philosophy 2 4%
Mathematics 1 2%
Other 5 10%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 September 2012.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#8,565
of 8,958 outputs
Outputs of similar age
#161,362
of 177,846 outputs
Outputs of similar age from PLoS Computational Biology
#104
of 107 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.