Evidence map›Paper›PMID 22038510›Full record

ArticleJournal of the American Society for Mass Spectrometry2012

StavroX--a software for analyzing crosslinked products in protein interaction studies.

Michael Götze, Jens Pettelkau, Sabine Schaks, Konstanze Bosse, Christian H Ihling, Fabian Krauth, Romy Fritzsche, Uwe Kühn, Andrea Sinz

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed
6.6field-weighted citation impact, top 2% of its field
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

185 citing papers in PubMed, 352 citations in OpenAlex.

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125 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

9 authors at 1 institution in 1 country.

Michael GötzeInstitute of Biochemistry and Biotechnology, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany.
Jens Pettelkau
Sabine Schaks
Konstanze Bosse
Christian H Ihling
Fabian Krauth
Romy Fritzsche
Uwe Kühn
Andrea Sinz
Martin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical crosslinking in combination with mass spectrometry has matured into an alternative approach to derive low-resolution structural information of proteins and protein complexes. Yet, one of the major drawbacks of this strategy remains the lack of software that is able to handle the large MS datasets that are created after chemical crosslinking and enzymatic digestion of the crosslinking reaction mixtures. Here, we describe a software, termed StavroX, which has been specifically designed for analyzing highly complex crosslinking datasets. The StavroX software was evaluated for three diverse biological systems: (1) the complex between calmodulin and a peptide derived from Munc13, (2) an N-terminal ß-laminin fragment, and (3) the complex between guanylyl cyclase activating protein-2 and a peptide derived from retinal guanylyl cyclase. We show that the StavroX software is advantageous for analyzing crosslinked products due to its easy-to-use graphical user interface and the highly automated analysis of mass spectrometry (MS) and tandem mass spectrometry (MS/MS) data resulting in short times for analysis. StavroX is expected to give a further push to the chemical crosslinking approach as a routine technique for protein interaction studies.

Indexed as

Databases, ProteinSoftwareAlgorithmsAnimalsCattleCross-Linking ReagentsMass SpectrometryMiceProtein Interaction MappingProteinsTandem Mass SpectrometryUser-Computer InterfaceCross-Linking ReagentsProteins

Identifiers

PMID22038510
OpenAlexW2087087669

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.