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Quantifying the role of chaperones in protein translocation by computational modeling

Overview of attention for article published in Frontiers in Molecular Biosciences, March 2015
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Title
Quantifying the role of chaperones in protein translocation by computational modeling
Published in
Frontiers in Molecular Biosciences, March 2015
DOI 10.3389/fmolb.2015.00008
Pubmed ID
Authors

Salvatore Assenza, Paolo De Los Rios, Alessandro Barducci

Abstract

The molecular chaperone Hsp70 plays a central role in the import of cytoplasmic proteins into organelles, driving their translocation by binding them from the organellar interior. Starting from the experimentally-determined structure of the E. coli Hsp70, we computed, by means of molecular simulations, the effective free-energy profile for substrate translocation upon chaperone binding. We then used the resulting free energy to quantitatively characterize the kinetics of the import process, whose comparison with unassisted translocation highlights the essential role played by Hsp70 in importing cytoplasmic proteins.

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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Bachelor 4 21%
Other 2 11%
Professor > Associate Professor 2 11%
Professor 1 5%
Other 1 5%
Unknown 5 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 32%
Physics and Astronomy 4 21%
Biochemistry, Genetics and Molecular Biology 2 11%
Medicine and Dentistry 1 5%
Materials Science 1 5%
Other 0 0%
Unknown 5 26%
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 04 June 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Frontiers in Molecular Biosciences
#1,945
of 3,760 outputs
Outputs of similar age
#192,628
of 263,392 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#12
of 12 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,760 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 263,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.