Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
model · method
TOPBP (Complex)
TOPBP (Complex) is the method recorded for Protein–ligand binding affinity prediction. This page preserves the configuration reported by DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity.
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 | PDBbind core v2016DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity · Table 2, TOPBP (Complex) row, PDBbind v2016 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: Source table compiles a previously published comparator; protocol equivalence is not established.
DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity · Table 2, TOPBP (Complex) row, PDBbind v2016 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 |
|---|---|---|
| TOPBP (Complex): Protein–ligand binding affinity prediction Model: TOPBP (Complex) · Benchmark: Protein–ligand binding affinity prediction · Dataset: PDBbind core v2016 Source table compiles a previously published comparator; protocol equivalence is not established. Result quoted from another source · Evaluation metadata: needs review | ||
| 0.861 Pearson R Unit: unitless · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedDEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity · Table 2, TOPBP (Complex) row, PDBbind v2016 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.DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity · Table 2, TOPBP (Complex) row, PDBbind v2016 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-0068c3eff1bf7bSources and history
Release 2026-09-16-d74d282221a9 · Record review: needs review
- DEELIG: A Deep Learning Approach to Predict Protein-Ligand Binding Affinity · Original source · PMC archival version PMC8274096.1
Technical metadata and extraction receipts
Stable ID: reported-model-0068c3eff1bf7b
- areas
- molecular-interactions
- entity level
- method
- version
- Not reported
- reported name
- TOPBP (Complex)
- 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