↓ Skip to main content

StavroX—A Software for Analyzing Crosslinked Products in Protein Interaction Studies

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, October 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

patent
3 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
301 Dimensions

Readers on

mendeley
221 Mendeley
citeulike
1 CiteULike
Title
StavroX—A Software for Analyzing Crosslinked Products in Protein Interaction Studies
Published in
Journal of the American Society for Mass Spectrometry, October 2011
DOI 10.1007/s13361-011-0261-2
Pubmed ID
Authors

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

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Germany 2 <1%
Poland 1 <1%
Austria 1 <1%
Unknown 215 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 32%
Researcher 41 19%
Student > Master 28 13%
Student > Bachelor 18 8%
Student > Doctoral Student 8 4%
Other 27 12%
Unknown 29 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 68 31%
Agricultural and Biological Sciences 48 22%
Chemistry 42 19%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Computer Science 4 2%
Other 16 7%
Unknown 38 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2022.
All research outputs
#3,907,044
of 25,837,817 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#259
of 3,906 outputs
Outputs of similar age
#21,041
of 156,607 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#10
of 172 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,906 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 156,607 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.