A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases
version of record
What this source contributed
Records in this release that cite this source. A record can cite several sources.
Models, benchmarks and other records
Tasks (1)
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.
15 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Artifact SHA-256 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. |
| 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. |
| 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. |
| 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. |
Review method1 values
| 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. |
| 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. |
| 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. |
| 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. |
| Search facets None recorded 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 2026-11-02-a7f03c9e55a5 · Record review: source checked
Primary reference; inspect retrieval status and review scope.
Technical metadata and extraction receipts
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.; method: automated-source-review