rewire.itbenchmarks
Result

0.695 Pearson R

DiffDock · Pearson R · SARS-CoV-2 Mpro ligands

Tested configuration
DiffDock
Task
Ligand potency prediction using generated poses
Dataset
SARS-CoV-2 Mpro ligands
Procedure
Potency prediction using DiffDock ligand-pose generation plus paper scoring pipeline; not a native DiffDock affinity score.
Evaluation
DiffDock: Ligand potency prediction using generated poses
Coverage
scored: unreported; eligible: unreported
Uncertainty
± 0.037
Evidence
Independent external evaluation · source checkedA Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases · Table 3, DiffDock row, Pearson’s R column

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.

Reproduction

Split
Not reported
Adaptation
Not reported
Scoring implementation
Not reported

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

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.

1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
attributes.printed_value
0.695
Individual claims
A Comparative Study of Deep Learning and Classical Modeling Approaches for Protein–Ligand Binding Pose and Affinity Prediction in Coronavirus Main Proteases

Original source ↗

Table 3, DiffDock row, Pearson’s R column

Version: version of record
Retrieved: 2026-09-16T10:41:16.557756+00:00

source checked

independent ai table review · 2026-09-16T10:41:16.558815+00:00

independent paper

Audit details

JATS label is bare 3. Selected SARS-CoV-2 Mpro potency Pearson R, not MERS-CoV table 2 or Boltz-2-Internal row; uncertainty retained in evidence. This verifies the central score at its source location, not every metadata field or an experimental reproduction.

Field: attributes.printed_value

Claim: claim-lit-048

Source artifact SHA-256: c356a1c65a0033e5ae18a05d4afab5495856c5b6869328ff49e13547a4801a57

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Extraction artifact SHA-256: c356a1c65a0033e5ae18a05d4afab5495856c5b6869328ff49e13547a4801a57

Extraction artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: lit-048

areas
molecular-interactions
tasks
Ligand potency prediction using generated poses
printed value
0.695
numeric value
0.695
metric
Pearson R
metric direction
unknown
unit
unitless
uncertainty
± 0.037
source locator
Table 3, DiffDock row, Pearson’s R column
review
method: independent_ai_table_review; reviewer: Codex omics research agent; independent source-table review, not human review; reviewed at: 2026-09-16T10:41:16.558815+00:00; notes: JATS label is bare 3. Selected SARS-CoV-2 Mpro potency Pearson R, not MERS-CoV table 2 or Boltz-2-Internal row; uncertainty retained in evidence. This verifies the central score at its source location, not every metadata field or an experimental reproduction.; evidence: {"table_xml_id": "tbl3", "row_cells": ["DiffDock", "0.973 ± 0.044", "1.192 ± 0.045", "0.695 ± 0.037", "9.93 × 10–39", "0.195 ± 0.061", "0.512 ± 0.028", "0.756 ± 0.014"], "selected_cell_zero_based": 3, "selected_cell_xml": "<td align=\"center\" colspan=\"1\" rowspan=\"1\">0.695 ± 0.037</td>", "caption": "Statistical Performance Metrics of Potency Prediction for SARS-CoV-2 Mpro Using Different Ligand Pose Generation Protocols"}; artifact sha256: c356a1c65a0033e5ae18a05d4afab5495856c5b6869328ff49e13547a4801a57; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12801289/fullTextXML
legacy id
lit-048
legacy row
id: lit-048; paper id: mpro-pose-affinity-2025; domain id: molecular-interactions; task: Ligand potency prediction using generated poses; model: DiffDock; model version: Not reported; dataset: SARS-CoV-2 Mpro ligands; dataset version: Not reported; split: Not reported; metric: Pearson R; value: 0.695; unit: unitless; uncertainty: ± 0.037; protocol: Potency prediction using DiffDock ligand-pose generation plus paper scoring pipeline; not a native DiffDock affinity score.; source locator: Table 3, DiffDock row, Pearson’s R column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12801289/; evaluation origin: independent_paper; reviewed utc: 2026-09-15T23:25:00Z
missing metadata
model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
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