Evidence map›Paper›PMID 25626688›Full record

ArticleBMC bioinformatics2015

MDAT- Aligning multiple domain arrangements.

Carsten Kemena, Tristan Bitard-Feildel, Erich Bornberg-Bauer

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The language of the protein universe.Current opinion in genetics & development · 2015
    Review
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

3 authors.

Carsten KemenaInstitute for Evolution and Biodiversity, University of Münster, Hüfferstr. 1, Münster, Germany. c.kemena@uni-muenster.de.
Tristan Bitard-FeildelInstitute for Evolution and Biodiversity, University of Münster, Hüfferstr. 1, Münster, Germany. t.bitard.feildel@uni-muenster.de.
Erich Bornberg-BauerInstitute for Evolution and Biodiversity, University of Münster, Hüfferstr. 1, Münster, Germany. ebb@uni-muenster.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProteins are composed of domains, protein segments that fold independently from the rest of the protein and have a specific function. During evolution the arrangement of domains can change: domains are gained, lost or their order is rearranged. To facilitate the analysis of these changes we propose the use of multiple domain alignments.

resultsWe developed an alignment program, called MDAT, which aligns multiple domain arrangements. MDAT extends earlier programs which perform pairwise alignments of domain arrangements. MDAT uses a domain similarity matrix to score domain pairs and aligns the domain arrangements using a consistency supported progressive alignment method.

conclusionMDAT will be useful for analysing changes in domain arrangements within and between protein families and will thus provide valuable insights into the evolution of proteins and their domains. MDAT is coded in C++, and the source code is freely available for download at http://www.bornberglab.org/pages/mdat .

Indexed as

AlgorithmsSoftwareHumansProgramming LanguagesProteinsProtein Structure, TertiarySequence AlignmentSequence Analysis, ProteinProteins

Identifiers

PMID25626688
PMCPMC4384290

What OpenQuestion holds

Textmetadata
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.