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In silico evaluation of the influence of the translocon on partitioning of membrane segments

Overview of attention for article published in BMC Bioinformatics, May 2014
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Title
In silico evaluation of the influence of the translocon on partitioning of membrane segments
Published in
BMC Bioinformatics, May 2014
DOI 10.1186/1471-2105-15-156
Pubmed ID
Authors

Dominique Tessier, Sami Laroum, Béatrice Duval, Emma M Rath, W Bret Church, Jin-Kao Hao

Abstract

The locations of the TM segments inside the membrane proteins are the consequence of a cascade of several events: the localizing of the nascent chain to the membrane, its insertion through the translocon, and the conformation adopted to reach its stable state inside the lipid bilayer. Even though the hydrophobic h-region of signal peptides and a typical TM segment are both composed of mostly hydrophobic side chains, the translocon has the ability to determine whether a given segment is to be inserted into the membrane. Our goal is to acquire robust biological insights into the influence of the translocon on membrane insertion of helices, obtained from the in silico discrimination between signal peptides and transmembrane segments of bitopic proteins. Therefore, by exploiting this subtle difference, we produce an optimized scale that evaluates the tendency of each amino acid to form sequences destined for membrane insertion by the translocon.

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X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Researcher 2 18%
Professor 1 9%
Student > Master 1 9%
Student > Bachelor 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 4 36%
Agricultural and Biological Sciences 4 36%
Arts and Humanities 1 9%
Engineering 1 9%
Unknown 1 9%
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 22 May 2014.
All research outputs
#18,372,841
of 22,756,196 outputs
Outputs from BMC Bioinformatics
#6,303
of 7,271 outputs
Outputs of similar age
#163,045
of 226,345 outputs
Outputs of similar age from BMC Bioinformatics
#116
of 151 outputs
Altmetric has tracked 22,756,196 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 7,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.