Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
MPNN as evaluated in the cited study. MPNN architecture in Table 2; single-task supervised encoder plus MLP; interaction additionally uses ESM-1b protein embeddings
Key specifications have not been extracted for this record. See the linked evaluation and sources for the reported setup.
limited source coverage · Automated source review, 2026-09-17. All specifications and missing details
Release 2026-09-17-d277315f7d76 · 11 evaluations · 11 metric rows. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| MPNN: GlyConnect glycosylation · Glycos Configuration: MPNNProtocol: GlyConnect glycosylation · Glycos (GlycanML glycosylation type prediction)Dataset: GlyConnect glycosylation · Glycos 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 | ||
| 97.41(0.90)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.9; 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 Glycos Source checking is not independent reproduction. |
| MPNN: SugarBase taxonomy · Phylum Configuration: MPNNProtocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Phylum Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 82.48(0.94)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.94; 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 Phylum Source checking is not independent reproduction. |
| MPNN: SugarBase taxonomy · Kingdom Configuration: MPNNProtocol: SugarBase taxonomy · Kingdom (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Kingdom Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 90.39(0.94)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.94; 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 Kingdom Source checking is not independent reproduction. |
| MPNN: SugarBase taxonomy · Family Configuration: MPNNProtocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Family Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 41.60(0.64)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.64; 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 Family Source checking is not independent reproduction. |
| MPNN: SugarBase taxonomy · Domain Configuration: MPNNProtocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 93.83(0.17)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.17; 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 Domain 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. |
| MPNN: SugarBase taxonomy · Species Configuration: MPNNProtocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Species Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 33.80(1.87)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 1.87; 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 Species Source checking is not independent reproduction. |
| MPNN: SugarBase taxonomy · Order Configuration: MPNNProtocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Order Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 45.85(0.87)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.87; 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 Order Source checking is not independent reproduction. |
| MPNN: SugarBase taxonomy · Class Configuration: MPNNProtocol: SugarBase taxonomy · Class (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Class Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 66.52(1.76)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 1.76; 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 Class Source checking is not independent reproduction. |
| MPNN: SugarBase taxonomy · Genus Configuration: MPNNProtocol: SugarBase taxonomy · Genus (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Genus Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 37.69(2.02)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 2.02; 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 Genus Source checking is not independent reproduction. |
| MPNN: LectinOracle interaction · Interaction Configuration: MPNNProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: LectinOracle interaction · Interaction 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 | ||
| 0.217(0.002) Spearman rho Unit: dimensionless · Direction: higher | Uncertainty: type: standard deviation; value: 0.002; 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 Interaction Source checking is not independent reproduction. |
MPNN architecture in Table 2; single-task supervised encoder plus MLP; interaction additionally uses ESM-1b protein embeddings
No source-reviewed explanatory claims are recorded here yet.
No source-reviewed explanatory claims are recorded here yet.
Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.
Stable record: paper-model-5b1f3a82b020f49ebeExplanatory profile: limited source coverage · Automated source review, 2026-09-17. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
| Property | Description and evidence |
|---|---|
| Model type | Not extracted or verified for this record. |
| Inputs | Not extracted or verified for this record. |
| Outputs | Not extracted or verified for this record. |
| Parameters | 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. |
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.
2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Evaluation in this paper MPNN architecture in Table 2; single-task supervised encoder plus MLP; interaction additionally uses ESM-1b protein embeddings Individual claims | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, row MPNN, column Domain Version: arXiv:2405.16206v1, 2024-05-25 | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Introduction MPNN as evaluated in the cited study. MPNN architecture in Table 2; single-task supervised encoder plus MLP; interaction additionally uses ESM-1b protein embeddings Individual claims | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, row MPNN, column Domain Version: arXiv:2405.16206v1, 2024-05-25 | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Release 2026-09-17-d277315f7d76 · Record review: needs review
Stable ID: paper-model-5b1f3a82b020f49ebe