Evidence map›Paper›PMID 28267312›Full record

ArticleAnalytical chemistry2017

Quirks of Error Estimation in Cross-Linking/Mass Spectrometry.

Lutz Fischer, Juri Rappsilber

Abstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Article
  2. Article
  3. Mapping the architecture of protein complexes inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Phosphorylation-dependent tuning of mRNA deadenylation rates.Nature structural & molecular biology · 2026
    Article
  7. Article
  8. Article
  9. Conformational plasticity of a BiP-GRP94 chaperone complex.Nature structural & molecular biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Kinetic principles of chemical cross-link formation for protein-protein interactions.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

36 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

2 authors.

Lutz FischerWellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3BF, United Kingdom.ORCID 0000-0003-4978-0864
Juri RappsilberWellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh , Edinburgh EH9 3BF, United Kingdom.ORCID 0000-0001-5999-1310

Funding

Wellcome Trust 092076Wellcome Trust 103139Wellcome Trust 103139/Z/13/ZWellcome Trust 108504
6 · The paper itself

Abstract

Cross-linking/mass spectrometry is an increasingly popular approach to obtain structural information on proteins and their complexes in solution. However, methods for error assessment are under current development. We note that false-discovery rates can be estimated at different points during data analysis, and are most relevant for residue or protein pairs. Missing this point led in our example analysis to an actual 8.4% error when 5% error was targeted. In addition, prefiltering of peptide-spectrum matches and of identified peptide pairs substantially improved results. In our example, this prefiltering increased the number of residue pairs (5% FDR) by 33% (n = 108 to n = 144). This number improvement did not come at the expense of reduced accuracy as the added data agreed with an available crystal structure. We provide an open-source tool, xiFDR ( https://github.com/rappsilberlab/xiFDR ), that implements our observations for routine application. Data are available via ProteomeXchange with identifier PXD004749.

Identifiers

PMID28267312
PMCPMC5423704

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.