Evidence map›Paper›PMID 40003954›Full record

ArticleInternational journal of molecular sciences2025

Epitope Mapping with Sidewinder: An XL-MS and Structural Modeling Approach.

Joel Ströbaek, Di Tang, Carlos Gueto-Tettay, Alejandro Gomez Toledo, Berit Olofsson, Erik Hartman, Moritz Heusel, Johan Malmström, Lars Malmström

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Methods for the Investigation of Protein-Ligands Interactions.Advances in experimental medicine and biology · 2026
    Review
  4. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
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.

Joel StröbaekDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.ORCID 0000-0003-1231-0420
Di TangDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.ORCID 0000-0001-6323-9375
Carlos Gueto-TettayDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.ORCID 0000-0002-8496-6341
Alejandro Gomez ToledoDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.
Berit OlofssonDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.ORCID 0009-0009-0602-2183
Erik HartmanDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.ORCID 0000-0001-9997-2405
Moritz HeuselDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.
Johan MalmströmDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.ORCID 0000-0002-2889-7169
Lars MalmströmDepartment of Clinical Sciences Lund, Infection Medicine, Faculty of Medicine, Lund University, 221 84 Lund, Sweden.ORCID 0000-0001-9885-9312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies are critical to the host's immune defense against bacterial pathogens. Understanding the mechanisms of antibody-antigen interactions is essential for developing new targeted immunotherapies. Building computational workflows that can identify where an antibody binds its cognate antigen and deconvoluting the interaction interface in a high-throughput manner are critical for advancing this field. Cross-linking mass spectrometry (XL-MS) integrated with structural modeling offers a flexible and high-resolution strategy to map protein-protein interactions from low sample amounts. However, cross-linking and in silico modeling have limitations that require robust analytical workflows to make accurate inferences. In this study, we introduce Sidewinder, a modular high-throughput pipeline combining state-of-the-art computational structural prediction and molecular docking with rapid XL-MS analysis, enabling comprehensive interrogation of antibody-antigen systems. We validated this pipeline on antibodies targeting two

Indexed as

Epitope MappingEpitopesMass SpectrometryAntibodies, MonoclonalBacterial ProteinsModels, MolecularMolecular Docking SimulationStreptococcus pyogenesAntibodies, MonoclonalBacterial ProteinsEpitopesantibody–antigen interactionsbacterial infectioncross-linking mass spectrometryepitope mappingGroup A Streptococcusimmunotherapy developmentStreptococcus pyogenesstructural biologytandem mass spectrometry

Identifiers

PMID40003954
PMCPMC11855800

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.