Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
Small-molecule binding-site classification evaluates residue predictions on structural and curated protein annotations.
Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
| Property | Description and evidence |
|---|---|
| Datasets | SJC combines sc-PDB, JOINED and COACH420; UniProtSMB supplies a separately curated binding-site dataset.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Splits | UniProtSMB representative proteins are partitioned 80:10:10 for training, validation and testing.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Metrics | Precision, recall, MCC, AUROC and AUPRC.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Baselines | ESM-2 versus ProtBert embeddings and MLP/CNN/Transformer head ablations; some head/model comparisons use the test set.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Leakage controls | Protein similarity clustering and cluster-aware split comparisons are described; ESM-2 pretraining sequences are not universally excluded.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Uncertainty | Multiple random seeds are evaluated; the paper reports fold-averaged metrics and standard deviations for its robustness experiment.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Entity type | Paper-specific computational evaluation protocol.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Organisms | The SJC structural collections and UniProtSMB annotations are selected by binding-site evidence and protein redundancy. Their preparation sections and dataset tables do not summarize organism composition or define a species-specific test. · Not reported in inspected sourcesSourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · SJC dataset preparation; UniProtSMB dataset preparation; Table 1 |
| Assays | Curated protein–small-molecule binding-site annotations.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Allowed inputs | Protein amino-acid sequences.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
| Adaptation | Supervised residue-level predictor fitted on the training proteins.SourcesProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages |
Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.
SJC combines sc-PDB, JOINED and COACH420; UniProtSMB supplies a separately curated binding-site dataset. UniProtSMB representative proteins are partitioned 80:10:10 for training, validation and testing. Precision, recall, MCC, AUROC and AUPRC. ESM-2 versus ProtBert embeddings and MLP/CNN/Transformer head ablations; some head/model comparisons use the test set. Protein similarity clustering and cluster-aware split comparisons are described; ESM-2 pretraining sequences are not universally excluded. Multiple random seeds are evaluated; the paper reports fold-averaged metrics and standard deviations for its robustness experiment.
Benchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.
These source-backed links do not make different protocols or scores interchangeable.
Each evaluation records what was tested and under which conditions.
Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies.
Recall (unitless) · Higher values are better for this metric.
Residue-level small-molecule binding-site classification. CHEN11 training, COACH420 test.
Source order is preserved. Plotted marks show point estimates; uncertainty, where reported, is retained in the printed values and table. Differences do not establish statistical significance.
Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Comparison of CLAPE-SMB with other models trained on CHEN11 and tested on COACH420; Table 2 (Tab2), row 2 P2Rank, column 2: COACH420, trained on CHEN11 Recall; Table 2 (Tab2), row 3 GraphBind, column 2: COACH420, trained on CHEN11 Recall; Table 2 (Tab2), row 4 CLAPE-SMB, column 2: COACH420, trained on CHEN11 Recall| Tested entity | Printed value | Uncertainty | Evidence |
|---|---|---|---|
| P2Rank · Configuration | 0.888 unitless | Not reported | Result quoted from another source · source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 2 P2Rank, column 2: COACH420, trained on CHEN11 Recall |
| GraphBind · Configuration | 0.477 unitless | Not reported | Result quoted from another source · source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 3 GraphBind, column 2: COACH420, trained on CHEN11 Recall |
| CLAPE-SMB · Configuration | 0.395 ± 0.066 unitless | printed: 0.066; value: 0.066; type: not explicitly identified in inspected table or caption | Author-reported evaluation · source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 4 CLAPE-SMB, column 2: COACH420, trained on CHEN11 Recall |
Source transcription and grouping reviewed by automated source review on 2026-09-17. These experiments were not independently reproduced by rewire.
Release 2026-09-17-d277315f7d76 · 12 evaluations · 45 metric rows. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| CLAPE-SMB with ESM-2: protein-small molecule binding-site prediction Contrastive CLAPE-SMB binding-site predictor with ESM-2 feature extractor Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.917 AUROC Unit: fraction · Direction: unknown | Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 5, ESM-2 / SJC row, AUROC column Source checking is not independent reproduction. |
| CLAPE-SMB: SJC test split Configuration: CLAPE-SMBProtocol: SJC test split (protein-small molecule binding-site prediction)Dataset: SJC test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.651 ± 0.016 Precision Unit: unitless · Direction: higher | Uncertainty: printed: 0.016; value: 0.016; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 3 (Tab3), row 5 CLAPE-SMB, column 3: SJC test split Precision Source checking is not independent reproduction. |
| 0.529 ± 0.004 MCC Unit: unitless · Direction: higher | Uncertainty: printed: 0.004; value: 0.004; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 3 (Tab3), row 5 CLAPE-SMB, column 4: SJC test split MCC Source checking is not independent reproduction. |
| CLAPE-SMB: COACH420, trained on CHEN11 Configuration: CLAPE-SMBProtocol: COACH420, trained on CHEN11 (protein-small molecule binding-site prediction)Dataset: COACH420, trained on CHEN11 Residue-level small-molecule binding-site classification. CHEN11 training, COACH420 test. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.876 ± 0.002 AUROC Unit: unitless · Direction: higher | Uncertainty: printed: 0.002; value: 0.002; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 4 CLAPE-SMB, column 5: COACH420, trained on CHEN11 AUROC Source checking is not independent reproduction. |
| 0.395 ± 0.066 Recall Unit: unitless · Direction: higher | Uncertainty: printed: 0.066; value: 0.066; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 4 CLAPE-SMB, column 2: COACH420, trained on CHEN11 Recall Source checking is not independent reproduction. |
| 0.371 ± 0.009 MCC Unit: unitless · Direction: higher | Uncertainty: printed: 0.009; value: 0.009; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 4 CLAPE-SMB, column 4: COACH420, trained on CHEN11 MCC Source checking is not independent reproduction. |
| DeepProSite: UniProtSMB test split Configuration: DeepProSiteProtocol: UniProtSMB test split (protein-small molecule binding-site prediction)Dataset: UniProtSMB test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.490 ± 0.013 Recall Unit: unitless · Direction: higher | Uncertainty: printed: 0.013; value: 0.013; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 4 DeepProSite, column 2: UniProtSMB test split Recall Source checking is not independent reproduction. |
| CLAPE-SMB: UniProtSMB test split Configuration: CLAPE-SMBProtocol: UniProtSMB test split (protein-small molecule binding-site prediction)Dataset: UniProtSMB test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.743 ± 0.040 Precision Unit: unitless · Direction: higher | Uncertainty: printed: 0.040; value: 0.04; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 5 CLAPE-SMB, column 3: UniProtSMB test split Precision Source checking is not independent reproduction. |
| 0.673 ± 0.031 Recall Unit: unitless · Direction: higher | Uncertainty: printed: 0.031; value: 0.031; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 5 CLAPE-SMB, column 2: UniProtSMB test split Recall Source checking is not independent reproduction. |
| 0.699 ± 0.004 MCC Unit: unitless · Direction: higher | Uncertainty: printed: 0.004; value: 0.004; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 5 CLAPE-SMB, column 4: UniProtSMB test split MCC Source checking is not independent reproduction. |
| GraphBind: UniProtSMB test split Configuration: GraphBindProtocol: UniProtSMB test split (protein-small molecule binding-site prediction)Dataset: UniProtSMB test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.932 ± 0.003 AUROC Unit: unitless · Direction: higher | Uncertainty: printed: 0.003; value: 0.003; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 3 GraphBind, column 5: UniProtSMB test split AUROC Source checking is not independent reproduction. |
| 0.565 ± 0.020 Recall Unit: unitless · Direction: higher | Uncertainty: printed: 0.020; value: 0.02; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 3 GraphBind, column 2: UniProtSMB test split Recall Source checking is not independent reproduction. |
| P2Rank: COACH420, trained on CHEN11 Configuration: P2RankProtocol: COACH420, trained on CHEN11 (protein-small molecule binding-site prediction)Dataset: COACH420, trained on CHEN11 Residue-level small-molecule binding-site classification. CHEN11 training, COACH420 test. Result quoted from another source · Evaluation metadata: needs review | ||
| 0.079 Precision Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 2 P2Rank, column 3: COACH420, trained on CHEN11 Precision Source checking is not independent reproduction. |
| N/A AUROC Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 2 P2Rank, column 5: COACH420, trained on CHEN11 AUROC Source checking is not independent reproduction. |
| P2Rank: SJC test split Configuration: P2RankProtocol: SJC test split (protein-small molecule binding-site prediction)Dataset: SJC test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.660 Recall Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 3 (Tab3), row 2 P2Rank, column 2: SJC test split Recall Source checking is not independent reproduction. |
| 0.293 MCC Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 3 (Tab3), row 2 P2Rank, column 4: SJC test split MCC Source checking is not independent reproduction. |
| GraphBind: SJC test split Configuration: GraphBindProtocol: SJC test split (protein-small molecule binding-site prediction)Dataset: SJC test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.486 ± 0.005 MCC Unit: unitless · Direction: higher | Uncertainty: printed: 0.005; value: 0.005; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 3 (Tab3), row 3 GraphBind, column 4: SJC test split MCC Source checking is not independent reproduction. |
| GraphBind: COACH420, trained on CHEN11 Configuration: GraphBindProtocol: COACH420, trained on CHEN11 (protein-small molecule binding-site prediction)Dataset: COACH420, trained on CHEN11 Residue-level small-molecule binding-site classification. CHEN11 training, COACH420 test. Result quoted from another source · Evaluation metadata: needs review | ||
| 0.477 Recall Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 3 GraphBind, column 2: COACH420, trained on CHEN11 Recall Source checking is not independent reproduction. |
| 0.889 AUROC Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 3 GraphBind, column 5: COACH420, trained on CHEN11 AUROC Source checking is not independent reproduction. |
| 0.303 MCC Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 3 GraphBind, column 4: COACH420, trained on CHEN11 MCC Source checking is not independent reproduction. |
| 0.223 Precision Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 2 (Tab2), row 3 GraphBind, column 3: COACH420, trained on CHEN11 Precision Source checking is not independent reproduction. |
| P2Rank: UniProtSMB test split Configuration: P2RankProtocol: UniProtSMB test split (protein-small molecule binding-site prediction)Dataset: UniProtSMB test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Independent external evaluation · Evaluation metadata: needs review | ||
| N/A AUROC Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 2 P2Rank, column 5: UniProtSMB test split AUROC Source checking is not independent reproduction. |
| 0.236 MCC Unit: unitless · Direction: higher | Uncertainty: unreported Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 4 (Tab4), row 2 P2Rank, column 4: UniProtSMB test split MCC Source checking is not independent reproduction. |
| DeepProSite: SJC test split Configuration: DeepProSiteProtocol: SJC test split (protein-small molecule binding-site prediction)Dataset: SJC test split Residue-level small-molecule binding-site classification. 80/10/10 train/validation/test partition of nonredundant sequences. Independent external evaluation · Evaluation metadata: needs review | ||
| 0.458 ± 0.022 Recall Unit: unitless · Direction: higher | Uncertainty: printed: 0.022; value: 0.022; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 3 (Tab3), row 4 DeepProSite, column 2: SJC test split Recall Source checking is not independent reproduction. |
| 0.926 ± 0.002 AUROC Unit: unitless · Direction: higher | Uncertainty: printed: 0.002; value: 0.002; type: not explicitly identified in inspected table or caption Scored: Not reported · Eligible: Not reported | source checkedProtein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning · Table 3 (Tab3), row 4 DeepProSite, column 5: SJC test split AUROC Source checking is not independent reproduction. |
Last literature check: 2026-09-17. Dated primary-source discovery and protocol/table screening. Source checking does not mean experimental reproduction. Only separately extracted and independently reviewed numeric batches are publishable.
| Paper or primary resource | Version | Reference |
|---|---|---|
| Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning | version of record | Read source |
complete tables extracted
No source-reviewed explanatory claims are recorded here yet.
Relevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged.
Stable record: reported-task-b181ed450cdd41Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
17 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Diagram caption Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Diagram steps ["Input: Protein amino-acid sequences.","Evaluation: Supervised residue-level predictor fitted on the training proteins.","Readout: Precision, recall, MCC, AUROC and AUPRC."] Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Diagram title Computational evaluation flow Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Datasets SJC combines sc-PDB, JOINED and COACH420; UniProtSMB supplies a separately curated binding-site dataset. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Splits UniProtSMB representative proteins are partitioned 80:10:10 for training, validation and testing. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Adaptation Supervised residue-level predictor fitted on the training proteins. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Metrics Precision, recall, MCC, AUROC and AUPRC. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Baselines ESM-2 versus ProtBert embeddings and MLP/CNN/Transformer head ablations; some head/model comparisons use the test set. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Leakage controls Protein similarity clustering and cluster-aware split comparisons are described; ESM-2 pretraining sequences are not universally excluded. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
| Uncertainty Multiple random seeds are evaluated; the paper reports fold-averaged metrics and standard deviations for its robustness experiment. Individual claims | Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning Methods: Evaluation metrics; SJC dataset preparation; UniProtSMB dataset preparation; Discussion; cached text lines 24–25, 35–43, 93; comparative evaluation and ablation passages; uncertainty/repeat-run/statistical-comparison passages Version: version of record | source checked automated source review · 2026-09-16 Audit detailsRelevant full-paper computational evaluation sections, tables/captions and cited supplementary task passages were reviewed. Reporting omissions are scoped to the inspected sources. Original numerical results are unchanged. Field: Source artifact SHA-256: Hash scope: Hash scope not separately documented; inspect source record |
Release 2026-09-17-d277315f7d76 · Record review: needs review
Stable ID: reported-task-b181ed450cdd41