rewire.it
Task

vaccine-antigen candidate prediction

Vaccine-antigen classification tests transfer by withholding one organism’s labeled protein examples.

SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

4 evaluations · 22 metric rows

At a glance

Inputs, training, access and other details

Explanatory profile: limited source coverage · Automated source review, 2026-09-16. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.

Data, procedure and scoring
PropertyDescription and evidence
DatasetsPreviously curated vaccine-antigen positive/negative datasets used by Vaxign-ML and Vaxign-DL.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
SplitsLeave-one-pathogen-out evaluation trains on the remaining organisms and predicts the withheld organism’s labels.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
MetricsAccuracy, sensitivity, specificity, weighted F1, MCC, AUROC and AUPRC.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
BaselinesVaxign-ML and Vaxign-DL are the referenced baseline datasets/methods.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
Leakage controlsDataset curation removes positive-protein homologs above 30% sequence similarity and selects negative proteins below 30% similarity to positives. The LOPOV experiment additionally withholds one of ten pathogens. These controls do not establish that sequences were absent from ESM-1b pretraining.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: Collection of Positive and Negative protein sequences; Leave-one-pathogen-out validation
UncertaintyTables 1–3 include ± terms for most metrics but not AUROC. Their captions and the Deep learning pipeline section do not define whether those terms are standard deviations, standard errors or confidence intervals, or specify their repetition count. · Not reported in inspected sources
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: Deep learning pipeline; Tables 1–3
Entity typePaper-specific computational evaluation protocol.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
OrganismsMultiple pathogen species in the curated antigen evaluation.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
AssaysVaccine-antigen positive/negative annotations.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
Allowed inputsProtein sequence representations.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
AdaptationSupervised candidate classification with leave-one-pathogen-out evaluation.
SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

How it works

How it worksComputational evaluation flow
Computational evaluation flow1. Input: Protein sequence representations.. Then: 2. Evaluation: Leave-one-pathogen-out evaluation trains on the remaining organisms and predicts the withheld organism’s labels.. Then: 3. Readout: Accuracy, sensitivity, specificity, weighted F1, MCC, AUROC and AUPRC.Computational evaluation flow1. Input: Protein sequence representations.. Then: 2. Evaluation: Leave-one-pathogen-out evaluation trains on the remaining organisms and predicts the withheld organism’s labels.. Then: 3. Readout: Accuracy, sensitivity, specificity, weighted F1, MCC, AUROC and AUPRC.Computational evaluation flow1. Input: Protein sequence representations.. Then: 2. Evaluation: Leave-one-pathogen-out evaluation trains on the remaining organisms and predicts the withheld organism’s labels.. Then: 3. Readout: Accuracy, sensitivity, specificity, weighted F1, MCC, AUROC and AUPRC.

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39
Evaluation methodology

Previously curated vaccine-antigen positive/negative datasets used by Vaxign-ML and Vaxign-DL. Leave-one-pathogen-out evaluation trains on the remaining organisms and predicts the withheld organism’s labels. Accuracy, sensitivity, specificity, weighted F1, MCC, AUROC and AUPRC. Vaxign-ML and Vaxign-DL are the referenced baseline datasets/methods. Dataset curation removes positive-protein homologs above 30% sequence similarity and selects negative proteins below 30% similarity to positives. The LOPOV experiment additionally withholds one of ten pathogens. These controls do not establish that sequences were absent from ESM-1b pretraining.

SourcesEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39; Methods: Collection of Positive and Negative protein sequences; Leave-one-pathogen-out validation

Evaluation design

Benchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.

These source-backed links do not make different protocols or scores interchangeable.

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Published comparisons

Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies.

Protective-antigen classification feature comparison · Table 1.

Val Accuracy (fraction) · Higher values are better for this metric.

Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.

Evaluation protocol · Protective-antigen classification feature comparison

  1. Original · Configuration · Author-reported evaluation0.96 ± 0.008
  2. ESM Only · Configuration · Author-reported evaluation0.96 ± 0.005
  3. Combined · Configuration · Author-reported evaluation0.97 ± 0.004

Source order is preserved. Plotted marks show point estimates; uncertainty, where reported, is retained in the printed values and table. Differences do not establish statistical significance.

Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1.: Val Accuracy, Protective-antigen classification feature comparison
Values, uncertainty and evidence
Val Accuracy: original source values
Tested entityPrinted valueUncertaintyEvidence
Original · Configuration0.96 ± 0.008 fractiontype: reported_plus_minus_type_unresolved; value: 0.008Author-reported evaluation · source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column Val Accuracy; XML row2 column2
ESM Only · Configuration0.96 ± 0.005 fractiontype: reported_plus_minus_type_unresolved; value: 0.005Author-reported evaluation · source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column Val Accuracy; XML row3 column2
Combined · Configuration0.97 ± 0.004 fractiontype: reported_plus_minus_type_unresolved; value: 0.004Author-reported evaluation · source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column Val Accuracy; XML row4 column2
Scope and limitations
  • Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.
  • Published prose states specificity equal but table contains differences; table values retained.
  • No interval assigned unless printed in source cell.

Source transcription and grouping reviewed by automated source review on 2026-09-17. These experiments were not independently reproduced by rewire.

Tested entities and results

Release 2026-09-17-d277315f7d76 · 4 evaluations · 22 metric rows. Different protocols are not a single leaderboard.

Results grouped by the exact reported evaluation
Metric and findingCoverage and uncertaintyEvidence
Vaxign-DL + ESM: vaccine-antigen candidate prediction

Combined skip architecture, four layers, ESM-generated sequence features

Author-reported evaluation · Evaluation metadata: needs review

0.92 AUPRC

Unit: fraction · Direction: unknown

Uncertainty: ±0.013

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 2, 4 Layers row, AUPRC column

Source checking is not independent reproduction.

ESM Only: Protective-antigen classification feature comparison

Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.

Author-reported evaluation · Evaluation metadata: needs review

0.85 ± 0.036 AUPRC

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.036

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column AUPRC; XML row3 column7

Source checking is not independent reproduction.

0.98 ± 0.004 Specificity

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.004

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column Specificity; XML row3 column4

Source checking is not independent reproduction.

0.75 ± 0.063 Sensitivity

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.063

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column Sensitivity; XML row3 column3

Source checking is not independent reproduction.

0.96 ± 0.005 Val Accuracy

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.005

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column Val Accuracy; XML row3 column2

Source checking is not independent reproduction.

0.77 ± 0.043 MCC

Unit: dimensionless · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.043

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column MCC; XML row3 column6

Source checking is not independent reproduction.

0.94 AUROC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column AUROC; XML row3 column8

Source checking is not independent reproduction.

0.96 ± 0.007 Weighted F1

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.007

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row ESM Only, column Weighted F1; XML row3 column5

Source checking is not independent reproduction.

Combined: Protective-antigen classification feature comparison

Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.

Author-reported evaluation · Evaluation metadata: needs review

0.85 ± 0.021 MCC

Unit: dimensionless · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.021

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column MCC; XML row4 column6

Source checking is not independent reproduction.

0.99 ± 0.004 Specificity

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.004

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column Specificity; XML row4 column4

Source checking is not independent reproduction.

0.97 ± 0.004 Weighted F1

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.004

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column Weighted F1; XML row4 column5

Source checking is not independent reproduction.

0.97 ± 0.004 Val Accuracy

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.004

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column Val Accuracy; XML row4 column2

Source checking is not independent reproduction.

0.92 ± 0.013 AUPRC

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.013

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column AUPRC; XML row4 column7

Source checking is not independent reproduction.

0.83 ± 0.045 Sensitivity

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.045

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column Sensitivity; XML row4 column3

Source checking is not independent reproduction.

0.97 AUROC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Combined, column AUROC; XML row4 column8

Source checking is not independent reproduction.

Original: Protective-antigen classification feature comparison

Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.

Author-reported evaluation · Evaluation metadata: needs review

0.94 AUROC

Unit: fraction · Direction: higher

Uncertainty: unreported

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column AUROC; XML row2 column8

Source checking is not independent reproduction.

0.96 ± 0.008 Weighted F1

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.008

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column Weighted F1; XML row2 column5

Source checking is not independent reproduction.

0.78 ± 0.046 MCC

Unit: dimensionless · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.046

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column MCC; XML row2 column6

Source checking is not independent reproduction.

0.84 ± 0.049 AUPRC

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.049

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column AUPRC; XML row2 column7

Source checking is not independent reproduction.

0.74 ± 0.071 Sensitivity

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.071

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column Sensitivity; XML row2 column3

Source checking is not independent reproduction.

0.96 ± 0.008 Val Accuracy

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.008

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column Val Accuracy; XML row2 column2

Source checking is not independent reproduction.

0.99 ± 0.004 Specificity

Unit: fraction · Direction: higher

Uncertainty: type: reported plus minus type unresolved; value: 0.004

Scored: Not reported · Eligible: Not reported

source checkedEnhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features · Table 1., row Original, column Specificity; XML row2 column4

Source checking is not independent reproduction.

Papers and result coverage

Last literature check: 2026-09-17. Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.

Paper or primary resourceVersionReference
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Featurespreprint version in PMCRead source
DOI: 10.1101/2024.09.04.611295

What is still missing

  • Independent batch review before import; preserve existing observation identities.
Search and extraction details

complete comparison tables extracted pending publication review

Searches

  • Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features primary paper benchmark results

Evidence locations

  • Tables1–2; Performance analysis and feature sets

Strengths and limitations

Strengths and considerations

No source-reviewed explanatory claims are recorded here yet.

Profile review details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Stable record: reported-task-47465954d606e6

Evidence table

Inspect claims, sources and review details

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.

17 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statementOriginal source and locationReview and provenance
Diagram caption

Conceptual summary of the cited evaluation; exact task configuration and source version remain part of the protocol.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.caption

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Diagram steps

["Input: Protein sequence representations.","Evaluation: Leave-one-pathogen-out evaluation trains on the remaining organisms and predicts the withheld organism’s labels.","Readout: Accuracy, sensitivity, specificity, weighted F1, MCC, AUROC and AUPRC."]

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.steps

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Diagram title

Computational evaluation flow

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.diagram.title

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Datasets

Previously curated vaccine-antigen positive/negative datasets used by Vaxign-ML and Vaxign-DL.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.0.value

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Splits

Leave-one-pathogen-out evaluation trains on the remaining organisms and predicts the withheld organism’s labels.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.1.value

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Adaptation

Supervised candidate classification with leave-one-pathogen-out evaluation.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.10.value

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Metrics

Accuracy, sensitivity, specificity, weighted F1, MCC, AUROC and AUPRC.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.2.value

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Baselines

Vaxign-ML and Vaxign-DL are the referenced baseline datasets/methods.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.3.value

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Leakage controls

Dataset curation removes positive-protein homologs above 30% sequence similarity and selects negative proteins below 30% similarity to positives. The LOPOV experiment additionally withholds one of ten pathogens. These controls do not establish that sequences were absent from ESM-1b pretraining.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: Collection of Positive and Negative protein sequences; Leave-one-pathogen-out validation

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

source checked

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.4.value

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Uncertainty

Tables 1–3 include ± terms for most metrics but not AUROC. Their captions and the Deep learning pipeline section do not define whether those terms are standard deviations, standard errors or confidence intervals, or specify their repetition count.

Individual claims
Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features

Original source ↗

Methods: Deep learning pipeline; Tables 1–3

Version: preprint version in PMC
Retrieved: 2026-09-16T10:41:06Z

unreported

automated source review · 2026-09-16

Audit details

Targeted full-paper and supplement review of the outstanding task fields, with original dataset metadata checked where accessible. Source-scoped omissions are explicit; no independent benchmark reproduction or numerical-result change.

Field: attributes.profile.facts.5.value

Source artifact SHA-256: b76fff917addd0e9ff8a2fc843496132ecf832d3ceef248e3edf2dbc78baab5f

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

Inspected artifact

Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

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

Stable ID: reported-task-47465954d606e6

areas
proteins-complexes
tasks
vaccine-antigen candidate prediction
entity level
task
version
Not reported
task
vaccine-antigen candidate prediction
scope note
Paper-specific evaluation task; protocol completeness requires further extraction.
comparison panels
id: part2-vaxign-esm-2024-T1-1dcdb2e905; title: Protective-antigen classification feature comparison · Table 1.; protocol id: paper-protocol-a7bf3c8f6b432c3093; dataset id: paper-dataset-c1edd1f6f7e93d9f6e; metric: Val Accuracy; unit: fraction; direction: higher; result ids: paper-result-cff4683107e593c8b4; paper-result-6884d284eba92a5c06; paper-result-7af576f4ade426848e; source ids: part2-vaxign-esm-2024; source locator: Table 1.: Val Accuracy, Protective-antigen classification feature comparison; context: Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.; caveats: Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.; Published prose states specificity equal but table contains differences; table values retained.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-vaxign-esm-2024-T1-aaa5cd1083; title: Protective-antigen classification feature comparison · Table 1.; protocol id: paper-protocol-a7bf3c8f6b432c3093; dataset id: paper-dataset-c1edd1f6f7e93d9f6e; metric: Sensitivity; unit: fraction; direction: higher; result ids: paper-result-c8bfac2d90d81feeb3; paper-result-5b5f63e259d93937fa; paper-result-e97d7b6a6ecb22428f; source ids: part2-vaxign-esm-2024; source locator: Table 1.: Sensitivity, Protective-antigen classification feature comparison; context: Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.; caveats: Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.; Published prose states specificity equal but table contains differences; table values retained.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-vaxign-esm-2024-T1-a4c286072e; title: Protective-antigen classification feature comparison · Table 1.; protocol id: paper-protocol-a7bf3c8f6b432c3093; dataset id: paper-dataset-c1edd1f6f7e93d9f6e; metric: Specificity; unit: fraction; direction: higher; result ids: paper-result-ef311f3bd240402622; paper-result-368137517fff441366; paper-result-4fbe5feb8bf19db3cf; source ids: part2-vaxign-esm-2024; source locator: Table 1.: Specificity, Protective-antigen classification feature comparison; context: Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.; caveats: Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.; Published prose states specificity equal but table contains differences; table values retained.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-vaxign-esm-2024-T1-7185c1558b; title: Protective-antigen classification feature comparison · Table 1.; protocol id: paper-protocol-a7bf3c8f6b432c3093; dataset id: paper-dataset-c1edd1f6f7e93d9f6e; metric: Weighted F1; unit: fraction; direction: higher; result ids: paper-result-651ddc5c811de9e8bb; paper-result-f4fc84c79d3f4a5dd2; paper-result-6314ca1ea38e3cc0b5; source ids: part2-vaxign-esm-2024; source locator: Table 1.: Weighted F1, Protective-antigen classification feature comparison; context: Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.; caveats: Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.; Published prose states specificity equal but table contains differences; table values retained.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-vaxign-esm-2024-T1-e43ff059cc; title: Protective-antigen classification feature comparison · Table 1.; protocol id: paper-protocol-a7bf3c8f6b432c3093; dataset id: paper-dataset-c1edd1f6f7e93d9f6e; metric: MCC; unit: dimensionless; direction: higher; result ids: paper-result-774bc1695cb59c05ac; paper-result-bc30cb500a5d4c0a21; paper-result-0588c3eaf97f2abf9e; source ids: part2-vaxign-esm-2024; source locator: Table 1.: MCC, Protective-antigen classification feature comparison; context: Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.; caveats: Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.; Published prose states specificity equal but table contains differences; table values retained.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-vaxign-esm-2024-T1-6ed0c48e92; title: Protective-antigen classification feature comparison · Table 1.; protocol id: paper-protocol-a7bf3c8f6b432c3093; dataset id: paper-dataset-c1edd1f6f7e93d9f6e; metric: AUPRC; unit: fraction; direction: higher; result ids: paper-result-7b567777b97aa43653; paper-result-04617e3534e8f83c6d; paper-result-b0ccdc4a3d8bbe1ae7; source ids: part2-vaxign-esm-2024; source locator: Table 1.: AUPRC, Protective-antigen classification feature comparison; context: Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.; caveats: Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.; Published prose states specificity equal but table contains differences; table values retained.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17; id: part2-vaxign-esm-2024-T1-0189da3e2b; title: Protective-antigen classification feature comparison · Table 1.; protocol id: paper-protocol-a7bf3c8f6b432c3093; dataset id: paper-dataset-c1edd1f6f7e93d9f6e; metric: AUROC; unit: fraction; direction: higher; result ids: paper-result-11bf48c7b68484cc04; paper-result-d002da139f31ba9e3f; paper-result-ff4ba6f92feb183bff; source ids: part2-vaxign-esm-2024; source locator: Table 1.: AUROC, Protective-antigen classification feature comparison; context: Original 509 features vs ESM 1,280 features vs combined 1,789 features. 372 protection-positive and 3,720 protection-negative samples.; caveats: Reported± values preserved; uncertainty type and resampling denominator not established in inspected methods.; Published prose states specificity equal but table contains differences; table values retained.; No interval assigned unless printed in source cell.; review: method: automated_source_review; date: 2026-09-17
benchmark research
review date: 2026-09-17; status: complete_comparison_tables_extracted_pending_publication_review; primary sources: part2-vaxign-esm-2024; inspected locators: Tables1–2; Performance analysis and feature sets; searched queries: Enhancing Vaxign-DL for Vaccine Candidate Prediction with added ESM-Generated Features primary paper benchmark results; gaps: Independent batch review before import; preserve existing observation identities.; claim scope: Primary-source discovery and table/protocol screening; source checked is not independently reproduced. Raw acquisitions not automatically numerical publication approval.
historical missing metadata
protocol version: not_reported_in_legacy_extract; split: not_reported_in_legacy_extract
metadata review scope
historical_missing_metadata preserves the original discovery state. Current descriptive evidence and missingness are recorded in profile.facts; numerical-result review is separate.
legacy kinds
benchmark
entity classification
review date: 2026-09-17; rationale: This source-scoped record identifies the biological prediction task and holds its paper context. Preserve the existing task identity; exact split, model adaptation and scoring remain in linked evaluations or separate protocol records.; source ids: vaxign-esm-2024; source locator: Methods: leave-one-pathogen-out validation; Performance evaluation; Results: long-protein coverage; cached text lines 18, 25–26, 39; ambiguities: A paper- or suite-specific task may constrain some inputs or metrics; that alone does not make it interchangeable with a complete versioned protocol. No protocol equivalence is inferred.; Some legacy profile Entity type facts use the generic phrase computational evaluation protocol. That boilerplate is not sufficient to establish a single fixed protocol identity or to merge this task with another protocol record.
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