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Evaluation

ESM-2 650M embeddings + classifier: antibody deamidation-site prediction

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Release 2026-09-29-06401fd5b220 · Evidence verified: Not verified

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Evaluation results

1 evaluation · 1 result. Different protocols are not a single leaderboard.

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Applied filters: All linked evaluations

Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Pipeline: ESM-2 650M embeddings + classifierTask: antibody deamidation-site prediction
Dataset: antibody peptide-mapping training dataset
0.944 accuracy
fraction · unknown

Uncertainty: ± 0.012

Coverage: Not reported scored / Not reported eligible

Author-reported evaluation · Source checked
Methods, coverage and source

ESM-2 650M embeddings + classifier: antibody deamidation-site prediction

global contextual embeddings only

Aggregation: Not reported

The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning · Table 1, Global embeddings only row, Accuracy column

Source checking is not independent reproduction. Release 2026-09-29-06401fd5b220.

Evaluation procedure

global contextual embeddings only

Pipeline
ESM-2 650M embeddings + classifier
Task
antibody deamidation-site prediction
Dataset
antibody peptide-mapping training dataset
origin
Author-reported evaluation
configuration
esm2_t33_650m_UR50D
protocol id
Not reported
dataset version
Not reported
split
fivefold stratified CV
population
Not reported
inputs
Not reported
adaptation
Not reported
metric implementation
Not reported
aggregation
Not reported
budget
Not reported

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Reproduction

Split
fivefold stratified CV
Adaptation
Not reported
Scoring implementation
Not reported

No execution recipe has been verified for this exact configuration and evaluation. A benchmark's general instructions may use different inputs, splits or model settings.

Reproducing this published result requires matching its model configuration, data, split and scorer. Source checking or a successful smoke test does not establish score reproduction.

Evidence

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Evidence table

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17 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statementOriginal source and locationReview and provenance
attributes.comparison.adaptation
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.adaptation

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.aggregation
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.aggregation

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.budget
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.budget

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.dataset_version
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.dataset_version

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.inputs
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.inputs

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.metric_implementation
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.metric_implementation

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.population
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.population

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.protocol_id
Not reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

missing or unspecified

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.protocol_id

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.comparison.split
fivefold stratified CV
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.comparison.split

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

attributes.origin
author_reported
Context-only references
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning

Original source ↗

No field-specific location recorded

Version: journal full text in PMC
Retrieved: 2026-09-16T10:33:38.478Z

not individually reviewed

No individual claim review recorded

author reported

Audit details

Field: attributes.origin

Source artifact SHA-256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b

Hash scope: Hash scope not separately documented; inspect source record

Inspected artifact

Sources and history

View linked audit checks and correction history

Release 2026-09-29-06401fd5b220 · Record review: needs review

1 source records and release historyDownload this release
Technical metadata and extraction receipts

Stable ID: evaluation-b2-antibody-deamidation-plm-2024

areas
proteins-complexes
tasks
antibody deamidation-site prediction
origin
author_reported
protocol
global contextual embeddings only
version
esm2_t33_650m_UR50D
comparison
protocol id: Not reported; dataset version: Not reported; split: fivefold stratified CV; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata
dataset version: not_reported_in_legacy_extract
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