Evidence map›Paper›PMID 21666267›Full record

ArticleBioinformatics (Oxford, England)2011

Xwalk: computing and visualizing distances in cross-linking experiments.

Abdullah Kahraman, Lars Malmström, Ruedi Aebersold

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Protein Secondary Structure Patterns in Short-Range Cross-Link Atlas.Angewandte Chemie (International ed. in English) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Structural insights into the multifunctionality of rabies virus P3 protein.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  18. Article
  19. The structure ofFrontiers in immunology · 2023
    Article
  20. Article

24 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

3 authors.

Abdullah KahramanDepartment of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH Zurich), CH-8093 Zurich, Switzerland. abdullah@imsb.biol.ethz.ch
Lars Malmström
Ruedi Aebersold

Funding

European Research Council 233226
6 · The paper itself

Abstract

motivationChemical cross-linking of proteins or protein complexes and the mass spectrometry-based localization of the cross-linked amino acids in peptide sequences is a powerful method for generating distance restraints on the substrate's topology.

resultsHere, we introduce the algorithm Xwalk for predicting and validating these cross-links on existing protein structures. Xwalk calculates and displays non-linear distances between chemically cross-linked amino acids on protein surfaces, while mimicking the flexibility and non-linearity of cross-linker molecules. It returns a 'solvent accessible surface distance', which corresponds to the length of the shortest path between two amino acids, where the path leads through solvent occupied space without penetrating the protein surface. AVAILABILITY: Xwalk is freely available as a web server or stand-alone JAVA application at http://www.xwalk.org.

Indexed as

AlgorithmsAmino AcidsAmino Acid SequenceComputational BiologyInternetMass SpectrometryProgramming LanguagesProteinsProtein Structure, TertiarySoftwareAmino AcidsProteins

Identifiers

PMID21666267
PMCPMC3137222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.