Model type
Sequence-search and folding pipeline
ColabFold packages sequence-search and protein-folding workflows for notebooks and local batch prediction.
Conceptual summary of the documented data flow; optional inputs and configured downstream stages must be reported for a reproducible evaluation.
Sequence-search and folding pipeline
Protein sequences, optionally templates and the selected alignment procedure.
Predicted structures and confidence outputs from the chosen underlying folding model.
Source reviewed · Automated source review, 2026-09-16. All specifications and missing details
Release 2026-09-17-d277315f7d76 · 0 evaluations · 0 metric rows. Different protocols are not a single leaderboard.
No evaluations linked in this release.
ColabFold packages sequence-search and protein-folding workflows for notebooks and local batch prediction. A prediction pipeline that can combine MMseqs2 alignments with AlphaFold-family or other folding models; it is not a single neural architecture. The documented inputs are protein sequences, optionally templates and the selected alignment procedure. The output consists of predicted structures and confidence outputs from the chosen underlying folding model.
README identifies ColabFold 1.6.3 and separately lists AlphaFold2, OpenFold3, ESMFold and beta notebooks. Hardware- and predictor-dependent. The README gives approximate 16GB-GPU guidance, not a universal model context.
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-colabfoldExplanatory profile: source reviewed · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
| Property | Description and evidence |
|---|---|
| Model type | Sequence-search and folding pipelineSourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Architecture | A prediction pipeline that can combine MMseqs2 alignments with AlphaFold-family or other folding models; it is not a single neural architecture.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Inputs | Protein sequences, optionally templates and the selected alignment procedure.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Outputs | Predicted structures and confidence outputs from the chosen underlying folding model.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Parameters | Depends on the underlying folding model; no single ColabFold parameter total.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Known versions | README identifies ColabFold 1.6.3 and separately lists AlphaFold2, OpenFold3, ESMFold and beta notebooks.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Training data | ColabFold assembles existing prediction models and search databases; their provenance must be recorded separately.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Training cutoff | Inapplicable as one pipeline-wide date: the selected folding weights and the MSA/template databases have separate releases and cutoffs. · Not applicableSourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Context limits | Hardware- and predictor-dependent. The README gives approximate 16GB-GPU guidance, not a universal model context.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Weights licence | Each underlying model has its own weight licence; repository code terms do not replace those licences.Sourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Access | Official project documentation and implementation: https://github.com/sokrypton/ColabFoldSourcessokrypton/ColabFold: README.md · README.md: notebook table and FAQ |
| Code licence | MITSourcessokrypton/ColabFold: LICENSE · LICENSE: licence text |
Applicability is distinct from a completed evaluation.
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.
20 evidence rows matching the loaded filters
| 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 | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram steps ["Protein sequences","Selected alignment search","Selected folding model","Structure and confidence"] Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Diagram title ColabFold workflow Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Model type Sequence-search and folding pipeline Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Architecture A prediction pipeline that can combine MMseqs2 alignments with AlphaFold-family or other folding models; it is not a single neural architecture. Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Access Official project documentation and implementation: https://github.com/sokrypton/ColabFold Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Code licence MIT Individual claims | sokrypton/ColabFold: LICENSE LICENSE: licence text Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Inputs Protein sequences, optionally templates and the selected alignment procedure. Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Outputs Predicted structures and confidence outputs from the chosen underlying folding model. Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
| Parameters Depends on the underlying folding model; no single ColabFold parameter total. Individual claims | sokrypton/ColabFold: README.md README.md: notebook table and FAQ Version: 84c27d9cc500489fd9b97545d2325b9d00f251d5 | source checked automated source review · 2026-09-16 Audit detailsInspected 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: Source artifact SHA-256: Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact |
Release 2026-09-17-d277315f7d76 · Record review: discovered
Stable ID: discovery-model-colabfold