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APBSmem: A Graphical Interface for Electrostatic Calculations at the Membrane

Overview of attention for article published in PLOS ONE, September 2010
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

blogs
1 blog

Citations

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84 Dimensions

Readers on

mendeley
135 Mendeley
citeulike
6 CiteULike
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Title
APBSmem: A Graphical Interface for Electrostatic Calculations at the Membrane
Published in
PLOS ONE, September 2010
DOI 10.1371/journal.pone.0012722
Pubmed ID
Authors

Keith M. Callenberg, Om P. Choudhary, Gabriel L. de Forest, David W. Gohara, Nathan A. Baker, Michael Grabe

Abstract

Electrostatic forces are one of the primary determinants of molecular interactions. They help guide the folding of proteins, increase the binding of one protein to another and facilitate protein-DNA and protein-ligand binding. A popular method for computing the electrostatic properties of biological systems is to numerically solve the Poisson-Boltzmann (PB) equation, and there are several easy-to-use software packages available that solve the PB equation for soluble proteins. Here we present a freely available program, called APBSmem, for carrying out these calculations in the presence of a membrane. The Adaptive Poisson-Boltzmann Solver (APBS) is used as a back-end for solving the PB equation, and a Java-based graphical user interface (GUI) coordinates a set of routines that introduce the influence of the membrane, determine its placement relative to the protein, and set the membrane potential. The software Jmol is embedded in the GUI to visualize the protein inserted in the membrane before the calculation and the electrostatic potential after completing the computation. We expect that the ease with which the GUI allows one to carry out these calculations will make this software a useful resource for experimenters and computational researchers alike. Three examples of membrane protein electrostatic calculations are carried out to illustrate how to use APBSmem and to highlight the different quantities of interest that can be calculated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 7%
Germany 3 2%
Brazil 3 2%
United Kingdom 1 <1%
Norway 1 <1%
Mexico 1 <1%
New Zealand 1 <1%
Unknown 116 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 27%
Student > Ph. D. Student 31 23%
Student > Master 12 9%
Professor > Associate Professor 9 7%
Student > Bachelor 8 6%
Other 30 22%
Unknown 8 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 33%
Biochemistry, Genetics and Molecular Biology 24 18%
Chemistry 21 16%
Physics and Astronomy 11 8%
Computer Science 6 4%
Other 18 13%
Unknown 11 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 April 2021.
All research outputs
#5,705,818
of 22,661,413 outputs
Outputs from PLOS ONE
#69,078
of 193,502 outputs
Outputs of similar age
#28,242
of 98,509 outputs
Outputs of similar age from PLOS ONE
#412
of 910 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 64% of its peers.
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 98,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 910 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.