gMVP: description
Description of gMVP
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.
Replace a category-only description with a sourced functional description (issue #88). Historical releases retain the original value.
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.
7 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Claimed field description Context-only references | Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) qa-descriptions-20261011-e-source-gmvp: abstractText Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: 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. |
| Previous value Variant effect predictor for missense variants. Context-only references | Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) qa-descriptions-20261011-e-source-gmvp: abstractText Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: 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 location qa-descriptions-20261011-e-source-gmvp: abstractText Context-only references | Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) qa-descriptions-20261011-e-source-gmvp: abstractText Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: 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. |
| Claimed value 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. Context-only references | Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) qa-descriptions-20261011-e-source-gmvp: abstractText Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: 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. |
| Description Replace a category-only description with a sourced functional description (issue #88). Historical releases retain the original value. Context-only references | Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) qa-descriptions-20261011-e-source-gmvp: abstractText Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: 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. |
| Relationship: subject somatic-oncogenicity-20261009-method-gmvp Context-only references | Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) qa-descriptions-20261011-e-source-gmvp: abstractText Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: 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. |
| Name gMVP: description Context-only references | Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) qa-descriptions-20261011-e-source-gmvp: abstractText Version: Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: 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. |
Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Abstract: Predicting functional effect of missense variants using graph attention neural networks (gMVP) · Original source · Europe PMC core record MED/37484202 (title and abstract), Nature Machine Intelligence 2022
Technical metadata and extraction receipts
Stable ID: metadata-correction-5bf3b695023c49ff6f70
- areas
- dna-genomes
- contexts
- clinical_research
- method types
- supervised_machine_learning
- field
- description
- previous value
- Variant effect predictor for missense variants.
- value
- 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.
- source locator
- qa-descriptions-20261011-e-source-gmvp: abstractText
- 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
Related records
- subject: gMVP