Evidence map›Paper›PMID 20949122›Full record

ArticlePloS one2010

APBSmem: a graphical interface for electrostatic calculations at the membrane.

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

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed.

  1. Article
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  3. Computational Evidence for Digenic Contribution ofInternational journal of molecular sciences · 2025
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  9. Computational Methods to Target Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
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  13. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Keith M CallenbergCarnegie Mellon-University of Pittsburgh Program in Computational Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
Om P Choudhary
Gabriel L de Forest
David W Gohara
Nathan A Baker
Michael Grabe

Funding

APBS: NANOSCALE BIOMOLECULAR ELECTROSTATICS SOFTWARER01GM069702 · NIGMS · WASHINGTON UNIVERSITY · PI BAKER, NATHAN A. · 2004 to 2021
$6.2M
NIGMS NIH HHS R01 GM069702
6 · The paper itself

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.

Indexed as

Computer GraphicsSoftwareUser-Computer InterfaceMembranes, ArtificialModels, MolecularMolecular ConformationProtein BindingProteinsStatic ElectricityMembranes, ArtificialProteins

Identifiers

PMID20949122
PMCPMC2947494

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.