Model

Boltz-2

Boltz predicts biomolecular complex structures; Boltz-2 also predicts binding affinity.

Sources (6)

jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations

1 evaluation · 1 result

How it worksBoltz-2 workflow

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

Sources (6)

Overview

Model type

Biomolecular structure and affinity predictor

Inputs

Protein, nucleic-acid and ligand specifications in prediction input files.

Outputs

Predicted complex structures and, for supported Boltz-2 inputs, binding-affinity predictions.

Access

Official project documentation and implementation: https://github.com/jwohlwend/boltz

Sources (6)

limited source coverage · Automated source review, 2026-09-23. All specifications and missing details

Evaluations and results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

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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: Boltz-2	Task: Ligand potency prediction using generated poses Dataset: SARS-CoV-2 Mpro ligands	0.8 Pearson R unitless · unknown Uncertainty: ± 0.027 Coverage: Not reported scored / Not reported eligible	Independent external evaluation · Source checked Methods, coverage and source Boltz-2: Ligand potency prediction using generated poses Potency prediction using Boltz-2 ligand-pose generation protocol; see paper scoring pipeline. Aggregation: Not reported A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases · Table 3, Boltz-2 row, Pearson’s R column

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

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How it works, versions and access

Related profile: Boltz. This page retains the exact record and its evaluation context.

Versions and evaluated configurations

Boltz-2 · family

How it works

Boltz-2 first encodes the molecular inputs, alignments and optional templates into token and pair features. A Pairformer trunk updates those features and conditions atom-coordinate diffusion to generate a complex. Separate confidence and affinity modules assess the prediction; affinity classification and regression outputs answer different questions.

Sources (6)

Versions and reproducibility

Boltz-1 and Boltz-2 are distinct released generations; the catalogue does not select an evaluated checkpoint. The Boltz-2 report describes training crops up to 768 tokens. This is a training-crop size rather than a universal inference maximum; affinity additionally uses a pocket crop.

Sources (6)

Strengths, limitations and unresolved questions

Strengths and limitations

Strengths and considerations

The project distributes prediction code, model weights and training instructions.
Sources (6)
jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations

Limitations and conditions

Affinity predictions depend on a plausible binding pose and mix biochemical endpoint types. The report notes limited handling of cofactors, water and multimeric binding partners, and substantial variation between assays.
Sources (6)
jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations

Profile review details

Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied.

Stable record: catalog-model-boltz-2

Specifications

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-23. 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	Biomolecular structure and affinity predictor Sources (6) jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations
Architecture	Molecular input embeddings, MSA and optional template modules build single-token and pair representations. Pairformer blocks refine these features; atom-coordinate diffusion generates structures, with separate confidence and binding-affinity modules. Sources (6) jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations
Inputs	Protein, nucleic-acid and ligand specifications in prediction input files. Sources (6) jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations
Outputs	Predicted complex structures and, for supported Boltz-2 inputs, binding-affinity predictions. Sources (6) jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations
Parameters	A complete parameter count tied to the released structure, confidence and affinity checkpoints is not stated in the inspected report or model constructor. These components must be identified before comparing parameter totals. No total was inferred from file size or architecture names. · Not reported in inspected sources Sources (2) Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction; jwohlwend/boltz: src/boltz/model/models/boltz2.py · XML sectionsS5-S12 Architecture and Training; src/boltz/model/models/boltz2.py Boltz2.__init__ component construction.
Known versions	Boltz-1 and Boltz-2 are separate model generations. In the Boltz-2 report, Boltz-2x means Boltz-2 with physicality steering potentials enabled; it is an inference condition, not evidence of a separately trained checkpoint. Sources (2) Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction; jwohlwend/boltz: README.md · README Introduction; XML sectionS15 paragraphP32 (Boltz-2x definition and Boltz-1 comparison).
Training data	Boltz-2 structure training uses experimental PDB structures released before 2023-06-01, MISATO/ATLAS/mdCATH molecular-dynamics ensembles, AlphaFold2 monomer predictions and Boltz-1 predictions of several complex types. Affinity regression uses filtered PubChem, ChEMBL and BindingDB assays; binary supervision uses PubChem HTS, CeMM and MIDAS plus synthetic decoys. Sources Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction · XML sectionS3 paragraphsP14-P16 Structural Data; sectionS4 paragraphsP20-P21 Binding Affinity Data.
Training cutoff	2023-06-01 applies to release dates of experimental PDB structures used by Boltz-2. The source does not give a common cutoff for molecular dynamics, distilled predictions and affinity databases; this date must not be assigned to Boltz-1 or to all Boltz-2 training evidence. Sources Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction · XML P14 experimental PDB cutoff; P16 distillation and P20-P21 affinity sources.
Context limits	Boltz-2 training crops extend to 768 molecular tokens. This is a training setting, not a universal inference limit. Affinity training also crops predicted binding pockets; permitted input size depends on the actual inference implementation and resources. Sources Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction · XML sectionS6 paragraphP23 Trunk optimization; sectionS12 paragraphP29 Affinity training.
Weights licence	The official README explicitly releases all code and weights under MIT for academic and commercial use. This establishes distribution terms, not the identity of a checkpoint used by an external paper. Sources jwohlwend/boltz: README.md · README.md Introduction line19.
Access	Official project documentation and implementation: https://github.com/jwohlwend/boltz Sources (6) jwohlwend/boltz: README.md; jwohlwend/boltz: docs/prediction.md; jwohlwend/boltz: docs/training.md; jwohlwend/boltz: src/boltz/model/models/boltz2.py; jwohlwend/boltz: scripts/train/configs/full.yaml; boltz2: Journal full-text XML · src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations
Code licence	MIT for code at commit b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc. Sources (2) jwohlwend/boltz: LICENSE; jwohlwend/boltz: README.md · LICENSE MIT text; README.md Introduction line19.

Evidence

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Evidence table

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89 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	jwohlwend/boltz: docs/training.md Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `4574fa3cac9d086708dce59de68a144dc337722af3242db9adfd6798bb37e21c` 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	jwohlwend/boltz: docs/prediction.md Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `b9cb2ff437389864bde02e7e9fd9fbcc7de189ca2e240a5f3fb6261ca595a795` 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	jwohlwend/boltz: src/boltz/model/models/boltz2.py Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `f05169e66488910fc11c6a56b56d19a58e3f43649586218df75573eeff7a9945` 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	jwohlwend/boltz: scripts/train/configs/full.yaml Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `70aa005d0c29b1c28918e104b92fd43b5cfde6157993dfcd8fe832e9a2e107dc` 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	boltz2: Journal full-text XML Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: preprint; 1 Retrieved: 2026-09-16T20:20:56.438787+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `4ba7533096d594725e7f6362807aee6cc19596571fd09d9ae82fc49c6daa16fd` 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	jwohlwend/boltz: README.md Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.caption` Source artifact SHA-256: `79149435313841e6f9cc0c8b581259f3952a2469cbe6f9a733f7143b557025c2` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Molecular inputs, MSA and templates Token and pair embeddings Pairformer trunk Atom-coordinate diffusion Structure, confidence and affinity Individual claims	jwohlwend/boltz: docs/training.md Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `4574fa3cac9d086708dce59de68a144dc337722af3242db9adfd6798bb37e21c` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Molecular inputs, MSA and templates Token and pair embeddings Pairformer trunk Atom-coordinate diffusion Structure, confidence and affinity Individual claims	jwohlwend/boltz: docs/prediction.md Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `b9cb2ff437389864bde02e7e9fd9fbcc7de189ca2e240a5f3fb6261ca595a795` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Molecular inputs, MSA and templates Token and pair embeddings Pairformer trunk Atom-coordinate diffusion Structure, confidence and affinity Individual claims	jwohlwend/boltz: src/boltz/model/models/boltz2.py Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `f05169e66488910fc11c6a56b56d19a58e3f43649586218df75573eeff7a9945` Hash scope: SHA-256 of retrieved original artifact bytes Format: original_artifact Inspected artifact
Diagram steps Molecular inputs, MSA and templates Token and pair embeddings Pairformer trunk Atom-coordinate diffusion Structure, confidence and affinity Individual claims	jwohlwend/boltz: scripts/train/configs/full.yaml Original source ↗ src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations Shared locator for this statement’s cited sources; not a separate locator for each citation. Version: b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc Retrieved: 2026-09-16T19:46:19.465940+00:00	source checked automated source review · 2026-09-23 Audit details Follow-up review of Training data, Training cutoff, Context limits, Parameters, Code licence, Weights licence, Known versions. Source locations and before/after decisions are recorded in the 23 September profile-evidence audit. Other explanatory content retains its earlier source scope. No human scientific review or independent reproduction is implied. Field: `attributes.profile.diagram.steps` Source artifact SHA-256: `70aa005d0c29b1c28918e104b92fd43b5cfde6157993dfcd8fe832e9a2e107dc` 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

9 source records and release history

Boltz-2 official resource · Original source · Not reported
jwohlwend/boltz: README.md · Original source · b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc
jwohlwend/boltz: docs/prediction.md · Original source · b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc
jwohlwend/boltz: docs/training.md · Original source · b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc
jwohlwend/boltz: src/boltz/model/models/boltz2.py · Original source · b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc
jwohlwend/boltz: scripts/train/configs/full.yaml · Original source · b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc
boltz2: Journal full-text XML · Original source · preprint; 1
Boltz-2: Towards Accurate and Efficient Binding Affinity Prediction · Original source · PMC full-text XML snapshot PMC12262699 at retrieval; byte-pinned by SHA-256
jwohlwend/boltz: LICENSE · Original source · b1ebfc46ecf57f5414e0d1a6f9027bbb122c53bc

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Technical metadata and extraction receipts

Stable ID: catalog-model-boltz-2

areas: molecular-interactions
method types: foundation model
entity level: family
version: released weights
reported name: Boltz-2
access: Public MIT code and weights; substantial compute required.
method type: foundation model
historical missing metadata: checkpoint revision: not_yet_extracted; training data: not_yet_extracted; licence: not_yet_extracted
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-f780521ccebbb0691f9e; evidence-official-5a9e55abdf288d9dd8da; evidence-official-39a15ed8072aeea14a22; evidence-official-734117ed8501eb26fefc; evidence-official-7cb8cb7f091536b92c11; evidence-official-bd6ec1f819e22f075c32; source locator: src/boltz/model/models/boltz2.py: Boltz2.__init__, forward, PairformerModule, AtomDiffusion and AffinityModule; docs/prediction.md: affinity outputs; Boltz-2 report Sections 2 Data, 3 Architecture, 4 Training and 6 Limitations; ambiguities: None recorded

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variant of: Boltz
subject: Boltz-2: variant of Boltz
family: Boltz-2

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