AlphaFold3, 200 models per target, top model picked by pDockQ2 (Zhu et al. 2023) (Fromm et al. 2026)
Configuration as run in the cited comparison.
Overview
Configuration as run in the cited comparison.
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.
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Source checking is not independent reproduction. Release 2026-10-10-6e93f504adfc.
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How it works, versions and access
Strengths, limitations and unresolved questions
Evidence
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Evidence table
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Sources and history
Release 2026-10-10-6e93f504adfc · Record review: source checked
1 source records and release history
- Evaluating deep learning based structure prediction methods on antibody-antigen complexes · Original source · Bioinformatics 42(4):btag136, 2026; PMC13061134 full-text XML
Technical metadata and extraction receipts
Stable ID: structural-20261009-config-fromm2026-af3-pdockq2
- areas
- proteins-complexes
- contexts
- research
- method types
- foundation_model
- reported name
- pDockQ2
- foundation model eligible
- true
- source locator
- Table 1, row 'pDockQ2'; 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 pDockQ2 among the 200
- limitations
- pDockQ2 was developed by the same group as this source.