evaluation · needs review

binding-affinity meta-model: protein-ligand binding affinity prediction

Evaluation procedure

Sequence-or-structure meta-model; predicts ln(Kd/Ki) using docked and deep-learning components

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

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

Evaluated configurationMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
binding-affinity meta-model: protein-ligand binding affinity prediction Model: binding-affinity meta-model · Benchmark: protein-ligand binding affinity prediction · Dataset: CASF-2016 Sequence-or-structure meta-model; predicts ln(Kd/Ki) using docked and deep-learning components Author-reported evaluation · Evaluation metadata: needs review
0.777 Pearson correlation Unit: unitless · Direction: unknown	Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported	source checkedImproved Prediction of Ligand–Protein Binding Affinities by Meta-modeling · Table 4, Meta-models row, CASF-2016 Benchmark > PCC column Source checking is not independent reproduction.

Release 2026-09-16-d74d282221a9 · Record review: needs review

Technical metadata and extraction receipts

Stable ID: evaluation-lit-b4-021

areas: molecular-interactions
tasks: protein-ligand binding affinity prediction
origin: author_reported
protocol: Sequence-or-structure meta-model; predicts ln(Kd/Ki) using docked and deep-learning components
version: Not reported
comparison: protocol id: Not reported; dataset version: Not reported; split: core benchmark; 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

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