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Source

Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 · Peer-reviewed

Original source

What this source contributed

Records in this release that cite this source. A record can cite several sources.

Claims

Statements this source supports, each with where in the source it was checked.

  • gMVP: description: Description Graph attention neural network whose nodes carry amino-acid features and whose edges are weighted by co-evolution strength, pooling information from the local protein context and from correlated distal positions. (qa-descriptions-20261011-e-source-gmvp: abstractText)

Models, benchmarks and other records

Methods (1)

Evidence

Source checking verifies the cited claim or transcription. It does not establish independent reproduction.

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.

26 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-10-22-1b7cf027e4f6
Property and statementOriginal source and locationReview and provenance
attributes.artifact_sha256
27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.artifact_sha256

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Artifact url
https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1038/s42256-022-00561-w%22&format=json&resultType=core
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.artifact_url

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Hash scope
SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.hash_scope

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Media type
application/json
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.media_type

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Missing metadata: licence: note
The retrieved record gives no licence
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.missing_metadata.licence.note

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Missing metadata: licence: reason
unreported
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.missing_metadata.licence.reason

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Publication status
peer_reviewed
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.publication_status

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Retrieved at
2026-10-11T01:38:38Z
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.retrieved_at

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Review: date
2026-10-11
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.review.date

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

Review: method note
Compared the store diff with origin/main, read each new description against its cited source passage and checked the licence of each new source record.
Source metadata
Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP)

Original source ↗

No field-specific location recorded

Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Retrieved: 2026-10-11T01:38:38Z

catalogued

No individual claim review recorded

Audit details

Field: attributes.review.method_note

Source artifact SHA-256: 27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525

Hash scope: SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.

Inspected artifact

How to read the evidence

Sources and history

Release 2026-10-22-1b7cf027e4f6 · Record review: source checked

Source text retrieved and hashed for the issue #88 category-only description fix.

Release history

No supporting source is linked yet.

Read original source

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Technical metadata and extraction receipts

Stable ID: qa-descriptions-20261011-e-source-gmvp

url
https://doi.org/10.1038/s42256-022-00561-w
artifact url
https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1038/s42256-022-00561-w%22&format=json&resultType=core
version
Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
retrieved at
2026-10-11T01:38:38Z
artifact sha256
27c9af15fc3ab76243b896e115b66f0c2e02f306efce4d35876369f1e3410525
publication status
peer_reviewed
media type
application/json
source locator
abstractText
hash scope
SHA-256 of one retrieval of a Europe PMC REST search response. These responses are not byte-stable (a later retrieval can differ in JSON key order); the title and abstractText fields are the evidence.
missing metadata
licence: reason: unreported; note: The retrieved record gives no licence
review
method: automated-source-review; ai-assisted-source-review; reviewer: claude; reviewer note: Extractor: Claude integrator agent for issue #88. Reviewer: a separate Claude review agent, independent of the extractor; no human review claimed.; date: 2026-10-11; method note: Compared the store diff with origin/main, read each new description against its cited source passage and checked the licence of each new source record.; note: Approved with two corrections, both applied: the MutFormer source licence is CC BY 4.0 per the arXiv abstract page, and the MetaRNN source locator now names the Background passage. Checked the 27 Chen 2020 descriptions row by row against Table 1 (PMC7033911) and spot-checked AlphaMissense, MisFit, popEVE, VARITY, MetaRNN, MutFormer and gMVP against their abstracts; accurate. Licences on the other new sources match Europe PMC.; receipt: data/omics/qa-descriptions-20261011-e/review.json; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1038/s42256-022-00561-w%22&format=json&resultType=core
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