Result

0.944 accuracy

ESM-2 650M embeddings + classifier · accuracy · antibody peptide-mapping training dataset

Tested pipeline: ESM-2 650M embeddings + classifier
Task: antibody deamidation-site prediction
Dataset: antibody peptide-mapping training dataset
Procedure: global contextual embeddings only
Evaluation: ESM-2 650M embeddings + classifier: antibody deamidation-site prediction
Coverage: scored: unreported; eligible: unreported
Uncertainty: ± 0.012
Evidence: Author-reported evaluation · source checkedThe 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

A source-checked result verifies the numerical transcription, not every model or protocol detail. Evaluation metadata: needs review. Source checked does not mean independently reproduced.

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.

Access requirements and official instructions: antibody deamidation-site prediction

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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1 evidence row matching the loaded filters

Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statement	Original source and location	Review and provenance
attributes.printed_value 0.944 Individual claims	The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning Original source ↗ Table 1, Global embeddings only row, Accuracy column Version: journal full text in PMC Retrieved: 2026-09-16T10:33:38.478Z	source checked primary xml exact label cell check · 2026-09-16T10:33:38.478Z author reported Audit details Exact row/header labels and numeric cell matched. Check verifies transcription, not experimental correctness. Field: `attributes.printed_value` Claim: claim-b2-antibody-deamidation-plm-2024 Source artifact SHA-256: `aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b` Hash scope: Hash scope not separately documented; inspect source record Inspected artifact Extraction artifact SHA-256: `aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b` Extraction artifact

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Sources and history

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Release 2026-09-29-06401fd5b220 · Record review: source checked

1 source records and release history

The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning · Original source · journal full text in PMC

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Technical metadata and extraction receipts

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

areas: proteins-complexes
tasks: antibody deamidation-site prediction
printed value: 0.944
numeric value: 0.944
metric: accuracy
metric direction: unknown
unit: fraction
uncertainty: ± 0.012
source locator: Table 1, Global embeddings only row, Accuracy column
review: method: primary_xml_exact_label_cell_check; reviewer: rewire deterministic table checker v1; reviewed at: 2026-09-16T10:33:38.478Z; notes: Exact row/header labels and numeric cell matched. Check verifies transcription, not experimental correctness.; evidence: Table 1, Global embeddings only row, Accuracy column; cell: 0.944 ± 0.012; artifact sha256: aa049f6d78e29540ba902a0d3b7f53d49e9833e4dad9869f79ac27664e8c150b; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11417914/fullTextXML
legacy id: b2-antibody-deamidation-plm-2024
legacy row: id: b2-antibody-deamidation-plm-2024; paper id: antibody-deamidation-plm-2024; domain id: proteins-complexes; task: antibody deamidation-site prediction; model: ESM-2 650M embeddings + classifier; model version: esm2_t33_650m_UR50D; dataset: antibody peptide-mapping training dataset; dataset version: Not reported; split: fivefold stratified CV; metric: accuracy; value: 0.944; unit: fraction; uncertainty: ± 0.012; protocol: global contextual embeddings only; source locator: Table 1, Global embeddings only row, Accuracy column; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11417914/; evaluation origin: author_reported; reviewed utc: 2026-09-15T23:33:26Z
missing metadata: dataset version: not_reported_in_legacy_extract

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