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evaluation · needs review

Boltz-2: Ligand potency prediction using generated poses

Evaluation procedure

Potency prediction using Boltz-2 ligand-pose generation protocol; see paper scoring pipeline.

Model
Boltz-2
Benchmark
Ligand potency prediction using generated poses
Dataset
SARS-CoV-2 Mpro ligands
origin
Independent external evaluation
configuration
Not reported
protocol id
Not reported
dataset version
Not reported
split
Not reported
population
Not reported
inputs
Not reported
adaptation
Not reported
metric implementation
Not reported
aggregation
Not reported
budget
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Evaluation results

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Boltz-2: Ligand potency prediction using generated poses

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: needs review

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Technical metadata and extraction receipts

Stable ID: evaluation-lit-047

areas
molecular-interactions
tasks
Ligand potency prediction using generated poses
origin
independent_paper
protocol
Potency prediction using Boltz-2 ligand-pose generation protocol; see paper scoring pipeline.
version
Not reported
comparison
protocol id: Not reported; dataset version: Not reported; split: Not reported; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
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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