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Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

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28 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.artifact_retrieved_at
2026-09-16T10:45:41.099916+00:00
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.artifact_retrieved_at

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.artifact_sha256
76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.artifact_sha256

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.artifact_url
https://pmc.ncbi.nlm.nih.gov/articles/PMC12068927/
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.artifact_url

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.doi
10.1007/s00439-024-02695-w
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.doi

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.legacy_paper.doi
10.1007/s00439-024-02695-w
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.legacy_paper.doi

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.legacy_paper.id
structure-informed-plm-2025
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.legacy_paper.id

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.legacy_paper.notes
Final Human Genetics Table 4, AA+SS+RSA+CM AUROC .803 checked directly; Research Square preprint Table 3 prints the same value.
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.legacy_paper.notes

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.legacy_paper.primary_domain
proteins-complexes
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.legacy_paper.primary_domain

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.legacy_paper.publication_status
peer_reviewed
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.legacy_paper.publication_status

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

attributes.legacy_paper.retrieved_utc
2026-09-15T23:33:26Z
Source metadata
Structure-Informed Protein Language Models are Robust Predictors for Variant Effects

Original source ↗

No field-specific location recorded

Version: Human Genetics 2025 journal article (online 2024)
Retrieved: 2026-09-16T10:45:41.099916+00:00

catalogued

No individual claim review recorded

Audit details

Field: attributes.legacy_paper.retrieved_utc

Source artifact SHA-256: 76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267

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

Inspected artifact

Sources and history

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

0 source records and release history

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Technical metadata and extraction receipts

Stable ID: structure-informed-plm-2025

areas
proteins-complexes
url
https://pmc.ncbi.nlm.nih.gov/articles/PMC12068927/
version
Human Genetics 2025 journal article (online 2024)
retrieved at
2026-09-15T23:33:26Z
doi
10.1007/s00439-024-02695-w
publication status
peer_reviewed
year
2025
artifact sha256
76082e1cd992d2c09c38f86d05aba575cc76c5022b53a297123b713bb1ce9267
artifact url
https://pmc.ncbi.nlm.nih.gov/articles/PMC12068927/
artifact retrieved at
2026-09-16T10:45:41.099916+00:00
legacy paper
id: structure-informed-plm-2025; title: Structure-Informed Protein Language Models are Robust Predictors for Variant Effects; year: 2025; publication status: peer_reviewed; version: Human Genetics 2025 journal article (online 2024); source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12068927/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1007/s00439-024-02695-w; notes: Final Human Genetics Table 4, AA+SS+RSA+CM AUROC .803 checked directly; Research Square preprint Table 3 prints the same value.
scope decision
included
missing metadata
licence: not_reported_in_legacy_extract
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