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.
6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field links:family:catalog-model-boltz-2 Context-only references | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases Methods: Deep Learning-Based Modeling with Boltz-2 Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Source location Methods: Deep Learning-Based Modeling with Boltz-2 Context-only references | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases Methods: Deep Learning-Based Modeling with Boltz-2 Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Target id catalog-model-boltz-2 Context-only references | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases Methods: Deep Learning-Based Modeling with Boltz-2 Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Description The source explicitly uses Boltz-2 with official MSA server and diffusion sampling parameter 10. This supports Boltz-2 specifically, not Boltz-1. Context-only references | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases Methods: Deep Learning-Based Modeling with Boltz-2 Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Relationship: subject reported-model-cdc9aabf4efc04 Context-only references | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases Methods: Deep Learning-Based Modeling with Boltz-2 Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Name Boltz-2: family Boltz-2 Context-only references | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases Methods: Deep Learning-Based Modeling with Boltz-2 Version: version of record | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
Release 2026-11-02-a7f03c9e55a5 · Record review: source checked
1 source record and release history
- A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases · Original source · version of record
Technical metadata and extraction receipts
Stable ID: model-evaluation-identity-0ded27a0cc61828bfa14
- areas
- molecular-interactions
- field
- links:family:catalog-model-boltz-2
- target id
- catalog-model-boltz-2
- source locator
- Methods: Deep Learning-Based Modeling with Boltz-2
- review
- method: automated-source-review; date: 2026-09-23; note: Source review establishes this relationship only. Exact evaluated configurations and original numerical review status remain unchanged. The source explicitly uses Boltz-2 with official MSA server and diffusion sampling parameter 10. This supports Boltz-2 specifically, not Boltz-1.
Related records
- subject: Boltz-2