Evidence map›Paper›PMID 23740748›Full record

ArticleBioinformatics (Oxford, England)2013

GSATools: analysis of allosteric communication and functional local motions using a structural alphabet.

Alessandro Pandini, Arianna Fornili, Franca Fraternali, Jens Kleinjung

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Allosteric Network Analysis Toolkit for Single-Domain Phosphoproteins.Methods in molecular biology (Clifton, N.J.) · 2026
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  4. Activation mechanism ofScience advances · 2021
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  20. The Gearbox of the Bacterial Flagellar Motor Switch.Structure (London, England : 1993) · 2016
    Article
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

4 authors.

Alessandro PandiniRandall Division of Cell and Molecular Biophysics, King's College London, London, UK. alessandro.pandini@kcl.ac.uk
Arianna Fornili
Franca Fraternali
Jens Kleinjung

Funding

Biotechnology and Biological Sciences Research Council BB/H018409/1Biotechnology and Biological Sciences Research Council BB/I023291/1British Heart Foundation FS/12/41/29724Medical Research Council U117581331
6 · The paper itself

Abstract

motivationGSATools is a free software package to analyze conformational ensembles and to detect functional motions in proteins by means of a structural alphabet. The software integrates with the widely used GROMACS simulation package and can generate a range of graphical outputs. Three applications can be supported: (i) investigation of the conformational variability of local structures; (ii) detection of allosteric communication; and (iii) identification of local regions that are critical for global functional motions. These analyses provide insights into the dynamics of proteins and allow for targeted design of functional mutants in theoretical and experimental studies. AVAILABILITY: The C source code of the GSATools, along with a set of pre-compiled binaries, is freely available under GNU General Public License from http://mathbio.nimr.mrc.ac.uk/wiki/GSATools.

Indexed as

Protein ConformationSoftwareAllosteric RegulationMotion

Identifiers

PMID23740748
PMCPMC3722520

What OpenQuestion holds

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LicenceCC BY
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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.