Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
PMF + ECFP + PF (LightGBM)
PMF + ECFP + PF (LightGBM) is the method recorded for Protein–ligand binding energy prediction. This page preserves the configuration reported by Machine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints.
At a glance
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Recorded dataset | Fingerprint-scoring benchmarkMachine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints · Table 1, PMF + ECFP + PF / LightGBM row, R column |
| Model type | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
How it works
Recorded evaluation
The imported evaluation describes this procedure: Binding-energy model using ligand and protein fingerprints with LightGBM.
Machine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints · Table 1, PMF + ECFP + PF / LightGBM row, R columnBenchmarks and 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 |
|---|---|---|
| PMF + ECFP + PF (LightGBM): Protein–ligand binding energy prediction Model: PMF + ECFP + PF (LightGBM) · Benchmark: Protein–ligand binding energy prediction · Dataset: Fingerprint-scoring benchmark Binding-energy model using ligand and protein fingerprints with LightGBM. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.79 Pearson R Unit: unitless · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedMachine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints · Table 1, PMF + ECFP + PF / LightGBM row, R column Source checking is not independent reproduction. |
Strengths and limitations
Limitations and conditions
- This is an evidence-limited profile. The recorded evaluation context does not establish performance on other datasets or configurations.Machine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints · Table 1, PMF + ECFP + PF / LightGBM row, R column
Profile review details
Reviewed the existing release record, its source pointer and linked evaluation context. This is not a fresh full-text architecture review or independent reproduction; numerical review status is unchanged.
Stable record: reported-model-3c196326586fa7Sources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- Machine-Learning- and Knowledge-Based Scoring Functions Incorporating Ligand and Protein Fingerprints · Original source · PMC archival version PMC9178954.1
Technical metadata and extraction receipts
Stable ID: reported-model-3c196326586fa7
- areas
- molecular-interactions
- entity level
- method
- version
- Not reported
- reported name
- PMF + ECFP + PF (LightGBM)
- missing metadata
- version: not_reported_in_legacy_extract; checkpoint revision: not_reported_in_legacy_extract; training data: not_reported_in_legacy_extract; licence: not_reported_in_legacy_extract