result · source checked
0.800 Pearson R
Boltz-2 · Pearson R · SARS-CoV-2 Mpro ligands
- Tested model
- Boltz-2
- Task or benchmark
- Ligand potency prediction using generated poses
- Dataset
- SARS-CoV-2 Mpro ligands
- Procedure
- Potency prediction using Boltz-2 ligand-pose generation protocol; see paper scoring pipeline.
- Evaluation
- Boltz-2: Ligand potency prediction using generated poses
- 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, Boltz-2 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.
Evaluation results
Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| Boltz-2: Ligand potency prediction using generated poses Model: Boltz-2 · Benchmark: Ligand potency prediction using generated poses · Dataset: SARS-CoV-2 Mpro ligands Potency prediction using Boltz-2 ligand-pose generation protocol; see paper scoring pipeline. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.800 Pearson R Unit: unitless · Direction: unknown | Uncertainty: ± 0.027 Scored: Not reported · Eligible: Not reported | 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, Boltz-2 row, Pearson’s R column Source checking is not independent reproduction. |
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: source checked
- 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: lit-047
- areas
- molecular-interactions
- tasks
- Ligand potency prediction using generated poses
- printed value
- 0.800
- numeric value
- 0.800
- metric
- Pearson R
- metric direction
- unknown
- unit
- unitless
- uncertainty
- ± 0.027
- source locator
- Table 3, Boltz-2 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: 2026-09-16T10:41:16.557756+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": ["Boltz-2", "0.716 ± 0.036", "0.909 ± 0.043", "0.800 ± 0.027", "9.54 × 10–59", "0.532 ± 0.043", "0.598 ± 0.024", "0.799 ± 0.012"], "selected_cell_zero_based": 3, "selected_cell_xml": "<td align=\"center\" colspan=\"1\" rowspan=\"1\">0.800 ± 0.027</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-047
- legacy row
- id: lit-047; paper id: mpro-pose-affinity-2025; domain id: molecular-interactions; task: Ligand potency prediction using generated poses; model: Boltz-2; model version: Not reported; dataset: SARS-CoV-2 Mpro ligands; dataset version: Not reported; split: Not reported; metric: Pearson R; value: 0.800; unit: unitless; uncertainty: ± 0.027; protocol: Potency prediction using Boltz-2 ligand-pose generation protocol; see paper scoring pipeline.; source locator: Table 3, Boltz-2 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