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1 evaluation · 3 results. Different protocols are not a single leaderboard.
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structural-20261009-protocol-fromm2026-abag-model-selection
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19 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.adaptation None; selection among sampled models Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.aggregation Mean over targets Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.budget 200 models per target Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.dataset_version 110 complexes deposited after 30 September 2021 Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.inputs Sequences and MSAs; no templates of the complex Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.metric_implementation DockQ (Basu and Wallner 2016; Mirabello and Wallner 2024) Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.population 110 antibody-antigen complexes Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.protocol_id structural-20261009-protocol-fromm2026-abag-model-selection Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
| attributes.comparison.split Temporal split at the AlphaFold3 training cutoff Context-only references | Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
attributes.limitations2 values
| Evaluating deep learning based structure prediction methods on antibody-antigen complexes Table 1, row 'aeTM' Version: Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: JATS XML parse (xml.etree), by extract/extract_structural.py |
Release 2026-10-10-6e93f504adfc · Record review: source checked
Stable ID: structural-20261009-eval-fromm2026-af3-aetm-oracle