DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity
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Evidence
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Evidence table
Inspect claims, sources and review details
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One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
28 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.artifact_retrieved_at 2026-09-16T10:33:55.586Z Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.artifact_sha256 5a7620c18d0622561004e1e25b5cfaf7399e93df3547eeefdd4cf6d300bb8aba Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.artifact_url https://www.ebi.ac.uk/europepmc/webservices/rest/PMC8274096/fullTextXML Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.doi 10.1177/11779322211030364 Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.doi 10.1177/11779322211030364 Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.id deelig-2021 Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.notes Primary full text verified using Europe PMC XML; venue: Bioinformatics and Biology Insights; PMC ID: PMC8274096. Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.primary_domain molecular-interactions Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.publication_status peer_reviewed Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| attributes.legacy_paper.retrieved_utc 2026-09-15T23:29:32Z Source metadata | DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity No field-specific location recorded Version: PMC archival version PMC8274096.1 | catalogued No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Sources and history
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Release 2026-09-29-06401fd5b220 · Record review: discovered
Technical metadata and extraction receipts
Stable ID: deelig-2021
- areas
- molecular-interactions
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC8274096/
- version
- PMC archival version PMC8274096.1
- retrieved at
- 2026-09-15T23:29:32Z
- doi
- 10.1177/11779322211030364
- publication status
- peer_reviewed
- year
- 2021
- artifact sha256
- 5a7620c18d0622561004e1e25b5cfaf7399e93df3547eeefdd4cf6d300bb8aba
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC8274096/fullTextXML
- artifact retrieved at
- 2026-09-16T10:33:55.586Z
- legacy paper
- id: deelig-2021; title: DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity; year: 2021; publication status: peer_reviewed; version: PMC archival version PMC8274096.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC8274096/; primary domain: molecular-interactions; retrieved utc: 2026-09-15T23:29:32Z; notes: Primary full text verified using Europe PMC XML; venue: Bioinformatics and Biology Insights; PMC ID: PMC8274096.; doi: 10.1177/11779322211030364
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract