Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL)
Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 · Preprint
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Claims
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- ABYSSAL: description: Description ESM-2 network with an added light-attention mechanism, trained on the mega-scale stability dataset, which predicts the stability change on single mutation and satisfies the antisymmetry property. (qa-descriptions-20261011-d-source-abyssal: abstractText)
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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
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.artifact_sha256 6b8741e12f40c5074150beecba35f0000e6d39a88c270d9327adfbcc57cddabf Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| Artifact url https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1101/2022.12.31.522396%22&format=json&resultType=core Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| 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: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| Media type application/json Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| Missing metadata: licence: note The retrieved record gives no licence Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| Missing metadata: licence: reason unreported Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| Publication status preprint Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| Retrieved at 2026-10-11T01:30:45Z Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| Review: date 2026-10-11 Source metadata | Abstract: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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. |
| 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: New mega dataset combined with deep neural network makes a progress in predicting impact of mutation on protein stability (ABYSSAL) No field-specific location recorded Version: Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023 | catalogued 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
Source text retrieved and hashed for the issue #88 category-only description fix.
Technical metadata and extraction receipts
Stable ID: qa-descriptions-20261011-d-source-abyssal
- url
- https://doi.org/10.1101/2022.12.31.522396
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1101/2022.12.31.522396%22&format=json&resultType=core
- version
- Europe PMC preprint record PPR/PPR590902 (title and abstract), bioRxiv 2023
- retrieved at
- 2026-10-11T01:30:45Z
- artifact sha256
- 6b8741e12f40c5074150beecba35f0000e6d39a88c270d9327adfbcc57cddabf
- publication status
- preprint
- 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. Checked the 16 Pancotti-derived descriptions word for word against PMC8921618 section 2.2, ESM therm, RaSP and ELASPIC-2 against Chu 2024, ThermoMPNN against Dieckhaus 2024, and ABYSSAL and phyloP against their abstracts; all match. Licences on the new sources are supported by Europe PMC, the PMC XML and Crossref.; receipt: data/omics/qa-descriptions-20261011-d/review.json; retrieval url: https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1101/2022.12.31.522396%22&format=json&resultType=core