SugarBase immunogenicity · Immuno
Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
Dataset and evaluation context
A dataset supplies biological observations. The evaluation protocol defines how those observations are split, used and scored.
Evaluation results
Release 2026-09-17-d277315f7d76 · 10 evaluations · 10 metric rows. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| LSTM: SugarBase immunogenicity · Immuno Configuration: LSTMProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.862(0.016) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.016; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Immuno Source checking is not independent reproduction. |
| ResNet: SugarBase immunogenicity · Immuno Configuration: ResNetProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.754(0.124) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.124; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row ResNet, column Immuno Source checking is not independent reproduction. |
| RGCN: SugarBase immunogenicity · Immuno Configuration: RGCNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.780(0.006) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.006; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row RGCN, column Immuno Source checking is not independent reproduction. |
| MPNN: SugarBase immunogenicity · Immuno Configuration: MPNNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.674(0.119) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.119; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row MPNN, column Immuno Source checking is not independent reproduction. |
| CompGCN: SugarBase immunogenicity · Immuno Configuration: CompGCNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.692(0.006) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.006; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row CompGCN, column Immuno Source checking is not independent reproduction. |
| Transformer: SugarBase immunogenicity · Immuno Configuration: TransformerProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.729(0.069) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.069; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Transformer, column Immuno Source checking is not independent reproduction. |
| GIN: SugarBase immunogenicity · Immuno Configuration: GINProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.716(0.051) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.051; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GIN, column Immuno Source checking is not independent reproduction. |
| GCN: SugarBase immunogenicity · Immuno Configuration: GCNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.688(0.023) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.023; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GCN, column Immuno Source checking is not independent reproduction. |
| GAT: SugarBase immunogenicity · Immuno Configuration: GATProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.685(0.053) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.053; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GAT, column Immuno Source checking is not independent reproduction. |
| Shallow CNN: SugarBase immunogenicity · Immuno Configuration: Shallow CNNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Author-reported evaluation · Evaluation metadata: needs review | ||
| 0.776(0.267) AUPRC Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.267; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Shallow CNN, column Immuno Source checking is not independent reproduction. |
Evidence table
Trace 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.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.reported_population.note Dataset split sizes, not per-model scored counts. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.reported_population.train_validation_test [1026,149,145] Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.source_locator Table 3, p. 8, Immuno Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.split Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.subset No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| description Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| name SugarBase immunogenicity · Immuno Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: needs review
- GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Original source · arXiv:2405.16206v1, 2024-05-25
Technical metadata and extraction receipts
Stable ID: paper-dataset-dfa9efa0038fe35cf1
- areas
- glycomics
- split
- Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column.
- subset
- Not reported
- reported population
- train validation test: 1026; 149; 145; note: Dataset split sizes, not per-model scored counts.
- source locator
- Table 3, p. 8, Immuno
- missing metadata
- manifest: unextracted; scored count: unreported
- entity classification
- review date: 2026-09-17; rationale: This record identifies a biological data collection or source-labelled evaluation cohort. Keep its dataset identity; split, assay, taxonomic level, candidate restrictions and comparison context remain attributes rather than automatically becoming new entity kinds.; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 3, p. 8, Immuno; ambiguities: None recorded
Related records
- dataset: GIN: SugarBase immunogenicity · Immuno
- dataset: LSTM: SugarBase immunogenicity · Immuno
- dataset: Transformer: SugarBase immunogenicity · Immuno
- dataset: CompGCN: SugarBase immunogenicity · Immuno
- dataset: GAT: SugarBase immunogenicity · Immuno
- dataset: RGCN: SugarBase immunogenicity · Immuno
- dataset: MPNN: SugarBase immunogenicity · Immuno
- dataset: GCN: SugarBase immunogenicity · Immuno
- dataset: Shallow CNN: SugarBase immunogenicity · Immuno
- dataset: ResNet: SugarBase immunogenicity · Immuno