Configuration

LSTM

LSTM as evaluated in the cited study. LSTM architecture in Table 2; single-task supervised encoder plus MLP; interaction additionally uses ESM-1b protein embeddings

Sources

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Domain

11 evaluations · 11 results

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Evaluations and results

11 evaluations · 11 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: LSTM	Protocol: SugarBase taxonomy · Genus (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Genus	28.87(2.77)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 2.77; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Genus
Configuration: LSTM	Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno	0.862(0.016) AUPRC dimensionless · higher Uncertainty: type: standard_deviation; value: 0.016; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Immuno
Configuration: LSTM	Protocol: SugarBase taxonomy · Kingdom (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Kingdom	88.43(1.55)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.55; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Kingdom
Configuration: LSTM	Protocol: SugarBase taxonomy · Class (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Class	63.47(1.95)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.95; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Class
Configuration: LSTM	Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction	0.280(0.001) Spearman rho dimensionless · higher Uncertainty: type: standard_deviation; value: 0.001; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Interaction
Configuration: LSTM	Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum	81.61(1.36)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.36; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Phylum
Configuration: LSTM	Protocol: GlyConnect glycosylation · Glycos (GlycanML glycosylation type prediction) Dataset: GlyConnect glycosylation · Glycos	96.28(1.42)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.42; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Glycos
Configuration: LSTM	Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order	41.20(2.84)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 2.84; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Order
Configuration: LSTM	Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain	92.78(1.16)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.16; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Domain
Configuration: LSTM	Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family	38.74(1.47)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.47; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Family
Configuration: LSTM	Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species	26.04(1.73)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.73; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source LSTM: 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. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Species

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LSTM architecture in Table 2; single-task supervised encoder plus MLP; interaction additionally uses ESM-1b protein embeddings

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GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Domain

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Evaluation in this paper LSTM 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 Original source ↗ Table 3, row LSTM, column Domain Version: arXiv:2405.16206v1, 2024-05-25 Retrieved: 2026-09-16T21:04:56.017006+00:00	source checked automated source review · 2026-09-17 Audit details Primary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: `attributes.profile.sections.0.body` Source artifact SHA-256: `9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Introduction LSTM as evaluated in the cited study. LSTM 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 Original source ↗ Table 3, row LSTM, column Domain Version: arXiv:2405.16206v1, 2024-05-25 Retrieved: 2026-09-16T21:04:56.017006+00:00	source checked automated source review · 2026-09-17 Audit details Primary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: `attributes.profile.summary` Source artifact SHA-256: `9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact

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GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Original source · arXiv:2405.16206v1, 2024-05-25

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Stable ID: paper-model-573cf807311e6344e4

areas: glycomics
entity level: method
configuration type: reported_configuration
version: LSTM architecture in Table 2; single-task supervised encoder plus MLP; interaction additionally uses ESM-1b protein embeddings
legacy kinds: model
entity classification: review date: 2026-09-17; rationale: This source-scoped entry preserves the method/configuration actually named in an evaluation. It is neither a global family identity nor proof of an immutable checkpoint; the linked evaluation retains adaptation, fitting and scoring details.; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 3, row LSTM, column Domain; ambiguities: Configuration means the source-labelled evaluated identity. It does not establish missing checkpoint hashes, default settings or equivalence to same-named records in other papers.

Related records

model: LSTM: SugarBase taxonomy · Kingdom
model: LSTM: SugarBase immunogenicity · Immuno
model: LSTM: GlyConnect glycosylation · Glycos
model: LSTM: SugarBase taxonomy · Class
model: LSTM: SugarBase taxonomy · Family
model: LSTM: SugarBase taxonomy · Domain
model: LSTM: SugarBase taxonomy · Order
model: LSTM: SugarBase taxonomy · Genus
model: LSTM: LectinOracle interaction · Interaction
model: LSTM: SugarBase taxonomy · Phylum
model: LSTM: SugarBase taxonomy · Species

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