rewirebio.iobenchmarks
Configuration

AlphaFold3, 200 models per target, top model picked by AlphaFold3 pTM (Fromm et al. 2026)

AlphaFold3, 200 models per target, top model picked by AlphaFold3 pTM: 40 seeds (1 to 40) x 5 diffusion samples; MSAs from the AlphaFold 2.3.2 pipeline (commit f251de6), bfd_uniref_hits.a3m.

1 evaluation · 3 results

Overview

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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

1 evaluation · 3 results. Different protocols are not a single leaderboard.

Protocol: Picking the top AlphaFold3 model per antibody-antigen target with a confidence score · Dataset: Fromm et al. 2026 antibody-antigen benchmark: 110 complexes released after 30 September 2021

Sorted by DockQ (mean over targets of the DockQ of the model picked by this score) (higher is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configurationDockQ (mean over targets of the DockQ of the model picked by this score)Spearman (mean over targets of the per-target correlation of score against DockQ)Spearman (score against DockQ over all models of all targets)
AlphaFold3, 200 models per target, top model picked by AlphaFold3 pTM (Fromm et al. 2026)Evaluation0.3690.20.67
All 3 result rows with coverage, uncertainty and sources
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Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: AlphaFold3, 200 models per target, top model picked by AlphaFold3 pTM (Fromm et al. 2026)Protocol: Picking the top AlphaFold3 model per antibody-antigen target with a confidence score
Dataset: Fromm et al. 2026 antibody-antigen benchmark: 110 complexes released after 30 September 2021
0.369 DockQ (mean over targets of the DockQ of the model picked by this score)
unitless · higher

Uncertainty: Not reported by the source

Coverage: 110 scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaFold3 top model by pTM on 110 post-cutoff antibody-antigen complexes (Fromm et al. 2026)

structural-20261009-protocol-fromm2026-abag-model-selection

Aggregation: Not reported

Evaluating deep learning based structure prediction methods on antibody-antigen complexes · Table 1, row 'pTM', column '<DockQ>'
Configuration: AlphaFold3, 200 models per target, top model picked by AlphaFold3 pTM (Fromm et al. 2026)Protocol: Picking the top AlphaFold3 model per antibody-antigen target with a confidence score
Dataset: Fromm et al. 2026 antibody-antigen benchmark: 110 complexes released after 30 September 2021
0.67 Spearman (score against DockQ over all models of all targets)
unitless · higher

Uncertainty: Not reported by the source

Coverage: 110 scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaFold3 top model by pTM on 110 post-cutoff antibody-antigen complexes (Fromm et al. 2026)

structural-20261009-protocol-fromm2026-abag-model-selection

Aggregation: Not reported

Evaluating deep learning based structure prediction methods on antibody-antigen complexes · Table 1, row 'pTM', column 'R'
Configuration: AlphaFold3, 200 models per target, top model picked by AlphaFold3 pTM (Fromm et al. 2026)Protocol: Picking the top AlphaFold3 model per antibody-antigen target with a confidence score
Dataset: Fromm et al. 2026 antibody-antigen benchmark: 110 complexes released after 30 September 2021
0.2 Spearman (mean over targets of the per-target correlation of score against DockQ)
unitless · higher

Uncertainty: Not reported by the source

Coverage: 110 scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

AlphaFold3 top model by pTM on 110 post-cutoff antibody-antigen complexes (Fromm et al. 2026)

structural-20261009-protocol-fromm2026-abag-model-selection

Aggregation: Not reported

Evaluating deep learning based structure prediction methods on antibody-antigen complexes · Table 1, row 'pTM', column '<R>'

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Evidence

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Evidence table

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Claims, original sources and review scope · Release 2026-11-02-a7f03c9e55a5
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Sources and history

Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

1 source record and release historyDownload this release (gzip)
Technical metadata and extraction receipts

Stable ID: structural-20261009-config-fromm2026-af3-ptm

areas
proteins-complexes
contexts
research
method types
foundation_model
reported name
pTM
foundation model eligible
true
source locator
Table 1, row 'pTM'; sections 2.2.2 and 2.7
missing metadata
version: reason: unreported; note: No release or commit is printed for this run
samples
200
parameters
40 seeds (1 to 40) x 5 diffusion samples; MSAs from the AlphaFold 2.3.2 pipeline (commit f251de6), bfd_uniref_hits.a3m
selection
Model with the highest pTM among the 200
provenance note
Configuration as run in the cited comparison.
Related records

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