↓ Skip to main content

RosettaEPR: Rotamer Library for Spin Label Structure and Dynamics

Overview of attention for article published in PLOS ONE, September 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
RosettaEPR: Rotamer Library for Spin Label Structure and Dynamics
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0072851
Pubmed ID
Authors

Nathan S. Alexander, Richard A. Stein, Hanane A. Koteiche, Kristian W. Kaufmann, Hassane S. Mchaourab, Jens Meiler

Abstract

An increasingly used parameter in structural biology is the measurement of distances between spin labels bound to a protein. One limitation to these measurements is the unknown position of the spin label relative to the protein backbone. To overcome this drawback, we introduce a rotamer library of the methanethiosulfonate spin label (MTSSL) into the protein modeling program Rosetta. Spin label rotamers were derived from conformations observed in crystal structures of spin labeled T4 lysozyme and previously published molecular dynamics simulations. Rosetta's ability to accurately recover spin label conformations and EPR measured distance distributions was evaluated against 19 experimentally determined MTSSL labeled structures of T4 lysozyme and the membrane protein LeuT and 73 distance distributions from T4 lysozyme and the membrane protein MsbA. For a site in the core of T4 lysozyme, the correct spin label conformation (Χ1 and Χ2) is recovered in 99.8% of trials. In surface positions 53% of the trajectories agree with crystallized conformations in Χ1 and Χ2. This level of recovery is on par with Rosetta performance for the 20 natural amino acids. In addition, Rosetta predicts the distance between two spin labels with a mean error of 4.4 Å. The width of the experimental distance distribution, which reflects the flexibility of the two spin labels, is predicted with a mean error of 1.3 Å. RosettaEPR makes full-atom spin label modeling available to a wide scientific community in conjunction with the powerful suite of modeling methods within Rosetta.

X Demographics

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

Geographical breakdown

Country Count As %
United States 2 4%
Israel 1 2%
Canada 1 2%
United Kingdom 1 2%
Spain 1 2%
Taiwan 1 2%
Unknown 48 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 36%
Researcher 9 16%
Student > Doctoral Student 7 13%
Professor 6 11%
Student > Bachelor 3 5%
Other 4 7%
Unknown 6 11%
Readers by discipline Count As %
Chemistry 18 33%
Biochemistry, Genetics and Molecular Biology 17 31%
Agricultural and Biological Sciences 5 9%
Computer Science 3 5%
Arts and Humanities 1 2%
Other 5 9%
Unknown 6 11%
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 17 September 2013.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from PLOS ONE
#173,124
of 193,977 outputs
Outputs of similar age
#172,403
of 196,918 outputs
Outputs of similar age from PLOS ONE
#4,375
of 5,049 outputs
Altmetric has tracked 22,721,584 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 193,977 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% 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 196,918 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,049 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.