A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases
Primary reference; inspect retrieval status and review scope.
Evidence table
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.
14 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.artifact_sha256 c356a1c65a0033e5ae18a05d4afab5495856c5b6869328ff49e13547a4801a57 Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.artifact_url https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12801289/fullTextXML Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.hash_scope Exact retrieved primary paper artifact bytes. Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.retrieved_at 2026-09-17T07:54:55.376153+00:00 Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.review_scope Source identification and table transcription; no independent experimental reproduction. Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.url https://pmc.ncbi.nlm.nih.gov/articles/PMC12801289/ Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.version version of record Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| description Primary reference; inspect retrieval status and review scope. Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| facets {} Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| id evidence-expansion-mpro-pose-affinity-2025-c356a1c6 Source metadata | A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases No field-specific location recorded Version: version of record | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: source checked
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Stable ID: evidence-expansion-mpro-pose-affinity-2025-c356a1c6
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12801289/
- version
- version of record
- retrieved at
- 2026-09-17T07:54:55.376153+00:00
- artifact sha256
- c356a1c65a0033e5ae18a05d4afab5495856c5b6869328ff49e13547a4801a57
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12801289/fullTextXML
- hash scope
- Exact retrieved primary paper artifact bytes.
- review scope
- Source identification and table transcription; no independent experimental reproduction.