Evidence map›Paper›PMID 24728994›Full record

ArticleNucleic acids research2014

The DynaMine webserver: predicting protein dynamics from sequence.

Elisa Cilia, Rita Pancsa, Peter Tompa, Tom Lenaerts, Wim F Vranken

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Article
  2. Frontiers in immunology · 2026
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  11. In silico identification of archaeal DNA-binding proteins.Bioinformatics (Oxford, England) · 2025
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29 more citing papers are in PubMed but not listed here.

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

5 authors.

Elisa CiliaMLG, Computer Science Department, Université Libre de Bruxelles (ULB), Brussels, Belgium Interuniversity Institute of Bioinformatics in Brussels (IB), ULB-VUB, Brussels, Belgium ecilia@ulb.ac.be.
Rita PancsaStructural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels, Belgium Department of Structural Biology, VIB, Brussels, Belgium.
Peter TompaInteruniversity Institute of Bioinformatics in Brussels (IB), ULB-VUB, Brussels, Belgium Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels, Belgium Department of Structural Biology, VIB, Brussels, Belgium Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary.
Tom LenaertsMLG, Computer Science Department, Université Libre de Bruxelles (ULB), Brussels, Belgium Interuniversity Institute of Bioinformatics in Brussels (IB), ULB-VUB, Brussels, Belgium AI-Lab, Computer Science Department, Vrije Universiteit Brussel, Brussels, Belgium.
Wim F VrankenInteruniversity Institute of Bioinformatics in Brussels (IB), ULB-VUB, Brussels, Belgium Structural Biology Brussels, Vrije Universiteit Brussel (VUB), Brussels, Belgium Department of Structural Biology, VIB, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein dynamics are important for understanding protein function. Unfortunately, accurate protein dynamics information is difficult to obtain: here we present the DynaMine webserver, which provides predictions for the fast backbone movements of proteins directly from their amino-acid sequence. DynaMine rapidly produces a profile describing the statistical potential for such movements at residue-level resolution. The predicted values have meaning on an absolute scale and go beyond the traditional binary classification of residues as ordered or disordered, thus allowing for direct dynamics comparisons between protein regions. Through this webserver, we provide molecular biologists with an efficient and easy to use tool for predicting the dynamical characteristics of any protein of interest, even in the absence of experimental observations. The prediction results are visualized and can be directly downloaded. The DynaMine webserver, including instructive examples describing the meaning of the profiles, is available at http://dynamine.ibsquare.be.

Indexed as

SoftwareInternetProteinsSequence Analysis, ProteinProteins

Identifiers

PMID24728994
PMCPMC4086073

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.