Evidence map›Paper›PMID 38498849›Full record

ArticleBioinformatics (Oxford, England)2024

CLAUDIO: automated structural analysis of cross-linking data.

Alexander Röhl, Eugen Netz, Oliver Kohlbacher, Hadeer Elhabashy

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Alexander RöhlApplied Bioinformatics, Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany.
Eugen NetzApplied Bioinformatics, Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany.
Oliver KohlbacherApplied Bioinformatics, Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0003-1739-4598
Hadeer ElhabashyApplied Bioinformatics, Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-4677-7064

Funding

German Network for Bioinformatics Infrastructure 031A532B
6 · The paper itself

Abstract

motivationCross-linking mass spectrometry has made remarkable advancements in the high-throughput characterization of protein structures and interactions. The resulting pairs of cross-linked peptides typically require geometric assessment and validation, given the availability of their corresponding structures.

resultsCLAUDIO (Cross-linking Analysis Using Distances and Overlaps) is an open-source software tool designed for the automated analysis and validation of different varieties of large-scale cross-linking experiments. Many of the otherwise manual processes for structural validation (i.e. structure retrieval and mapping) are performed fully automatically to simplify and accelerate the data interpretation process. In addition, CLAUDIO has the ability to remap intra-protein links as inter-protein links and discover evidence for homo-multimers. AVAILABILITY AND IMPLEMENTATION: CLAUDIO is available as open-source software under the MIT license at https://github.com/KohlbacherLab/CLAUDIO.

Indexed as

PeptidesSoftwareCross-Linking ReagentsMass SpectrometryCross-Linking ReagentsPeptides

Identifiers

PMID38498849
PMCPMC10994719

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.