Model

OpenFold

OpenFold is a trainable PyTorch implementation of AlphaFold 2 and AlphaFold-Multimer workflows.

Sources (2)

aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice

14 evaluations · 14 results

How it worksOpenFold workflow

Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.

Sources (2)

aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice

Overview

Model type

Trainable AlphaFold2-compatible structure predictor

Inputs

Protein sequence, sequence alignments and optional structural templates, depending on the inference mode.

Outputs

Predicted protein structures from selected OpenFold or compatible AlphaFold parameters.

Access

Official project documentation and implementation: https://github.com/aqlaboratory/openfold

Sources (2)

aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice

limited source coverage · Automated source review, 2026-09-16. All specifications and missing details

Evaluations and results

14 evaluations · 14 results. Different protocols are not a single leaderboard.

Filter evaluations

Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-GDT-TS-MEAN: Accuracy GDT-TS (mean) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0.856 gdt-ts_mean score · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-GDT-TS-MEAN: Accuracy GDT-TS (mean) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy GDT-TS ↑)
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-GDT-TS-MEDIAN: Accuracy GDT-TS (median) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0.913 gdt-ts_median score · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-GDT-TS-MEDIAN: Accuracy GDT-TS (median) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy GDT-TS ↑)
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-LDDT-MEAN: Accuracy lDDT (mean) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0.899 lddt_mean score · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-LDDT-MEAN: Accuracy lDDT (mean) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy lDDT ↑)
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-LDDT-MEDIAN: Accuracy lDDT (median) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0.933 lddt_median score · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-LDDT-MEDIAN: Accuracy lDDT (median) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy lDDT ↑)
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-RMSD-MEAN: Accuracy RMSD (mean) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	3.21 rmsd_mean score · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-RMSD-MEAN: Accuracy RMSD (mean) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy RMSD ↓)
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-RMSD-MEDIAN: Accuracy RMSD (median) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	1.59 rmsd_median score · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-RMSD-MEDIAN: Accuracy RMSD (median) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy RMSD ↓)
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-TM-SCORE-MEAN: Accuracy TM-score (mean) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0.87 tm-score_mean score · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-TM-SCORE-MEAN: Accuracy TM-score (mean) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy TM-score ↑)
Configuration: OpenFold	Task: ProteinBench FOLD-ACCURACY-TM-SCORE-MEDIAN: Accuracy TM-score (median) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0.947 tm-score_median score · higher Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-ACCURACY-TM-SCORE-MEDIAN: Accuracy TM-score (median) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Accuracy TM-score ↑)
Configuration: OpenFold	Task: ProteinBench FOLD-QUALITY-CA-BREAK-MEAN: Quality CA break (%) (mean) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0% ca-break_mean percent · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-QUALITY-CA-BREAK-MEAN: Quality CA break (%) (mean) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Quality CA break (%) ↓)
Configuration: OpenFold	Task: ProteinBench FOLD-QUALITY-CA-BREAK-MEDIAN: Quality CA break (%) (median) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0% ca-break_median percent · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-QUALITY-CA-BREAK-MEDIAN: Quality CA break (%) (median) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Quality CA break (%) ↓)
Configuration: OpenFold	Task: ProteinBench FOLD-QUALITY-CA-CLASH-MEAN: Quality CA clash (%) (mean) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0.4% ca-clash_mean percent · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-QUALITY-CA-CLASH-MEAN: Quality CA clash (%) (mean) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Quality CA clash (%) ↓)
Configuration: OpenFold	Task: ProteinBench FOLD-QUALITY-CA-CLASH-MEDIAN: Quality CA clash (%) (median) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	0% ca-clash_median percent · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-QUALITY-CA-CLASH-MEDIAN: Quality CA clash (%) (median) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Quality CA clash (%) ↓)
Configuration: OpenFold	Task: ProteinBench FOLD-QUALITY-PEPBOND-BREAK-MEAN: Quality PepBond break (%) (mean) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	2% pepbond-break_mean percent · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-QUALITY-PEPBOND-BREAK-MEAN: Quality PepBond break (%) (mean) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Quality PepBond break (%) ↓)
Configuration: OpenFold	Task: ProteinBench FOLD-QUALITY-PEPBOND-BREAK-MEDIAN: Quality PepBond break (%) (median) Dataset subset: CAMEO2022, 183 proteins (ProteinBench split)	1.7% pepbond-break_median percent · lower Uncertainty: Not reported Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source OpenFold on ProteinBench FOLD-QUALITY-PEPBOND-BREAK-MEDIAN: Quality PepBond break (%) (median) Structure prediction on CAMEO2022. Each cell prints the mean and the median over 183 proteins. Aggregation: Not reported proteinbench primary benchmark evidence · Table 7, row(OpenFold), column(Quality PepBond break (%) ↓)

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Use this model

How it works, versions and access

Versions and evaluated configurations

OpenFold · family

How it works

OpenFold is a trainable PyTorch implementation of AlphaFold 2 and AlphaFold-Multimer workflows. AlphaFold-compatible folding architecture with configurable attention implementations and a training pipeline. The documented inputs are protein sequence, sequence alignments and optional structural templates, depending on the inference mode. The output consists of predicted protein structures from selected OpenFold or compatible AlphaFold parameters.

Sources (2)

aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice

Versions and reproducibility

Documented monomer v2.0.1 and multimer v2.3.2 compatibility; distinguish OpenFold and imported AlphaFold parameters. Memory- and configuration-dependent; low-memory attention and CPU offloading are documented.

Sources (2)

aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice

Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

Provides training code, alignment resources and conversion between compatible parameter formats.
Sources (2)
aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice

Limitations and conditions

OpenFold-trained weights and DeepMind weights are separate artifacts. The documentation notes deliberate differences, including omitted model ensembling.
Sources (2)
aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice

Profile review details

Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied.

Stable record: discovery-model-openfold

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Inputs, outputs and configuration
Property	Description and evidence
Model type	Trainable AlphaFold2-compatible structure predictor Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Architecture	AlphaFold-compatible folding architecture with configurable attention implementations and a training pipeline. Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Inputs	Protein sequence, sequence alignments and optional structural templates, depending on the inference mode. Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Outputs	Predicted protein structures from selected OpenFold or compatible AlphaFold parameters. Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Parameters	The official documentation supports different AlphaFold2-compatible configurations and heads; this family record does not select one checkpoint with one verified total. · Not reported in inspected sources Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Known versions	Documented monomer v2.0.1 and multimer v2.3.2 compatibility; distinguish OpenFold and imported AlphaFold parameters. Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Training data	The documentation releases approximately 400,000 MSAs and PDB70 template-hit files; the actual training schedule/checkpoint remains a separate identity. Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Training cutoff	The inspected implementation documentation does not supply one common cutoff across its supported original, retrained and extended-context model configurations. · Not reported in inspected sources Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Context limits	Memory- and configuration-dependent; low-memory attention and CPU offloading are documented. Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Weights licence	The copyright notice specifies CC-BY-4.0 for DeepMind pretrained parameters; this does not automatically establish all OpenFold checkpoint terms. Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Access	Official project documentation and implementation: https://github.com/aqlaboratory/openfold Sources (2) aqlaboratory/openfold: README.md; aqlaboratory/openfold: docs/source/original_readme.md · docs/source/original_readme.md: Features, Inference and Copyright Notice
Code licence	Apache-2.0 Sources aqlaboratory/openfold: LICENSE · LICENSE: licence text

Applicable tests and references

Applicability is distinct from a completed evaluation.

CASP · Proposed association

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.

39 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statement	Original source and location	Review and provenance
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	aqlaboratory/openfold: docs/source/original_readme.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `aa0812608f4b4dca4b4d30b9e0eb6b7d08ca9d1596535419d6255c3ced48f36f` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram caption Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation. Individual claims	aqlaboratory/openfold: README.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `985b6dc09144ea14378dd2c543b288e8d2a05cb342a77cbc56b7a39c5170f638` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Sequence and alignments AlphaFold-compatible folding network Structure module Predicted protein structure Individual claims	aqlaboratory/openfold: docs/source/original_readme.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `aa0812608f4b4dca4b4d30b9e0eb6b7d08ca9d1596535419d6255c3ced48f36f` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Sequence and alignments AlphaFold-compatible folding network Structure module Predicted protein structure Individual claims	aqlaboratory/openfold: README.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `985b6dc09144ea14378dd2c543b288e8d2a05cb342a77cbc56b7a39c5170f638` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram title OpenFold workflow Individual claims	aqlaboratory/openfold: docs/source/original_readme.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.title` Source artifact SHA-256: `aa0812608f4b4dca4b4d30b9e0eb6b7d08ca9d1596535419d6255c3ced48f36f` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram title OpenFold workflow Individual claims	aqlaboratory/openfold: README.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.diagram.title` Source artifact SHA-256: `985b6dc09144ea14378dd2c543b288e8d2a05cb342a77cbc56b7a39c5170f638` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Model type Trainable AlphaFold2-compatible structure predictor Individual claims	aqlaboratory/openfold: docs/source/original_readme.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.facts.0.value` Source artifact SHA-256: `aa0812608f4b4dca4b4d30b9e0eb6b7d08ca9d1596535419d6255c3ced48f36f` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Model type Trainable AlphaFold2-compatible structure predictor Individual claims	aqlaboratory/openfold: README.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.facts.0.value` Source artifact SHA-256: `985b6dc09144ea14378dd2c543b288e8d2a05cb342a77cbc56b7a39c5170f638` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Architecture AlphaFold-compatible folding architecture with configurable attention implementations and a training pipeline. Individual claims	aqlaboratory/openfold: docs/source/original_readme.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.facts.1.value` Source artifact SHA-256: `aa0812608f4b4dca4b4d30b9e0eb6b7d08ca9d1596535419d6255c3ced48f36f` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Architecture AlphaFold-compatible folding architecture with configurable attention implementations and a training pipeline. Individual claims	aqlaboratory/openfold: README.md Original source ↗ docs/source/original_readme.md: Features, Inference and Copyright Notice Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: be2ec1841f16c966c65ae0e7599ebbadc725757d Retrieved: 2026-09-16T19:46:18.314650+00:00	source checked automated source review · 2026-09-16 Audit details Inspected pinned official documentation, relevant implementation files and named primary-paper sections. Claims are limited to those artifacts. Remaining field extraction and identity conflicts are explicit; no new performance claims, model runs or human review are implied. Field: `attributes.profile.facts.1.value` Source artifact SHA-256: `985b6dc09144ea14378dd2c543b288e8d2a05cb342a77cbc56b7a39c5170f638` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact

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Release 2026-09-29-06401fd5b220 · Record review: discovered

4 source records and release history

aqlaboratory/openfold official source · Original source · be2ec1841f16c966c65ae0e7599ebbadc725757d
aqlaboratory/openfold: README.md · Original source · be2ec1841f16c966c65ae0e7599ebbadc725757d
aqlaboratory/openfold: docs/source/original_readme.md · Original source · be2ec1841f16c966c65ae0e7599ebbadc725757d
aqlaboratory/openfold: LICENSE · Original source · be2ec1841f16c966c65ae0e7599ebbadc725757d

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Technical metadata and extraction receipts

Stable ID: discovery-model-openfold

areas: protein-structure
access: official_source_linked
benchmark applicability: candidate; not evidence of a reported evaluation
candidate benchmark ids: discovery-benchmark-casp
entity level: method
reported name: OpenFold
version: Not reported
historical missing metadata: checkpoint: unextracted; code licence: unextracted; parameters: unextracted; training cutoff: unextracted; training data: unextracted; version: unextracted; weights licence: unextracted
metadata review scope: historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
entity classification: review date: 2026-09-17; rationale: The cited profile describes a named learned biological predictor or representation model/family. Preserve this identity separately from task-specific fitting, individual checkpoints, pipelines and hosted access.; source ids: evidence-official-c0ac4d10941b082e5f86; evidence-official-53934b67953ba33b2c95; source locator: docs/source/original_readme.md: Features, Inference and Copyright Notice; ambiguities: OpenFold denotes a trainable AlphaFold-compatible implementation/model family here; it does not establish one checkpoint or equivalence to AlphaFold 2 weights.

Related records

applicable to: CASP
family: OpenFold

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