Evaluating deep learning based structure prediction methods on antibody-antigen complexes
Primary source retrieved and hashed for the structural hypotheses use-case pass.
Evidence
Source checking verifies the cited claim or transcription. It does not establish independent reproduction.
Evidence table
Inspect claims, sources and review details
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
22 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.access_and_reuse CC BY 4.0 permits redistribution of the article bytes. Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.archive_note Gzip copy (gzip -n -9) archived in the batch as artifacts/fromm2026-article.xml.gz. Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.artifact_sha256 a7320667ed6f7d8df440d90275d976b91d2fe98411172a79c6a304eb3f02275d Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.artifact_url https://www.ebi.ac.uk/europepmc/webservices/rest/PMC13061134/fullTextXML Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.doi 10.1093/bioinformatics/btag136 Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.extraction_method JATS XML parse (xml.etree), by extract/extract_structural.py Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.licence CC-BY-4.0 Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.media_type application/xml Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.publication_status peer_reviewed Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.retrieved_at 2026-10-09T21:21:58Z Source metadata | Evaluating deep learning based structure prediction methods on antibody-antigen complexes No field-specific location recorded Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
Sources and history
Release 2026-10-10-6e93f504adfc · Record review: source checked
Technical metadata and extraction receipts
Stable ID: structural-20261009-source-fromm2026
- areas
- proteins-complexes
- contexts
- research
- url
- https://doi.org/10.1093/bioinformatics/btag136
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC13061134/fullTextXML
- version
- Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML
- retrieved at
- 2026-10-09T21:21:58Z
- artifact sha256
- a7320667ed6f7d8df440d90275d976b91d2fe98411172a79c6a304eb3f02275d
- publication status
- peer_reviewed
- licence
- CC-BY-4.0
- media type
- application/xml
- doi
- 10.1093/bioinformatics/btag136
- source locator
- Full artifact bytes; per-record locators on each record
- access and reuse
- CC BY 4.0 permits redistribution of the article bytes.
- archive note
- Gzip copy (gzip -n -9) archived in the batch as artifacts/fromm2026-article.xml.gz.
- extraction method
- JATS XML parse (xml.etree), by extract/extract_structural.py
- scope note
- Authors: Fromm, Ludaic and Elofsson (Stockholm University); conflicts of interest: none declared. The authors did not develop AlphaFold3, Boltz-1 or Chai-1. pDockQ2, one of the ranking scores compared, comes from the same group (Zhu et al. 2023).