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Glutamate Transporter Homolog-based Model Predicts That Anion-π Interaction Is the Mechanism for the Voltage-dependent Response of Prestin*

Overview of attention for article published in Journal of Biological Chemistry, August 2015
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Article details
Title
Glutamate Transporter Homolog-based Model Predicts That Anion-π Interaction Is the Mechanism for the Voltage-dependent Response of Prestin*
Published in
Journal of Biological Chemistry, August 2015
DOI 10.1074/jbc.m115.649962
Pubmed ID
Authors
Abstract

Prestin is the motor protein of cochlear outer hair cells. Its unique capability to perform direct, rapid and reciprocal electromechanical conversion depends on membrane potential and interaction with intracellular anions. How prestin senses the voltage change and interacts with anions is still unknown. Our three-dimensional model of prestin, using molecular dynamics simulations, predicts that prestin contains eight transmembrane spanning segments, two helical re-entry loops and that tyrosyl residues are the structural specialization of the molecule for the unique function of prestin. Using site-directed mutagenesis and electrophysiological techniques, we confirmed that residues Y367, Y486, Y501 and Y508 contribute to anion binding, interacting with intracellular anions through novel anion-π interactions. Such weak interactions, sensitive to voltage and mechanical stimulation, confer prestin with a unique capability to perform electromechanical and mechanoelectric conversions with exquisite sensitivity. This novel mechanism is completely different from all known mechanisms seen in ion channels, transporters and motor proteins.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 39%
Student > Bachelor 5 16%
Student > Master 4 13%
Researcher 4 13%
Other 1 3%
Other 2 6%
Unknown 3 10%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 29%
Chemistry 9 29%
Agricultural and Biological Sciences 4 13%
Engineering 2 6%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 5 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 12 January 2016.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from Journal of Biological Chemistry
#82,451
of 85,237 outputs
Outputs of similar age
#238,048
of 277,795 outputs
Outputs of similar age from Journal of Biological Chemistry
#388
of 457 outputs
Altmetric has tracked 25,377,790 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 85,237 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 457 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.