source · discovered

ADAR-GPT: A continually fine-tuned language model for predicting A-to-I RNA editing sites

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

Sources and history

Release 2026-09-16-d74d282221a9 · Record review: discovered

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Technical metadata and extraction receipts

Stable ID: adar-gpt-editing-2026

areas: rna-transcriptomes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12798952/
version: version of record
retrieved at: 2026-09-15T23:37:05Z
doi: 10.1073/pnas.2529073123
publication status: peer_reviewed
year: 2026
artifact sha256: cc8c7eb928f246f1f347a8822f614cd3475381c35eef6d579032ce441580198e
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12798952/fullTextXML
artifact retrieved at: 2026-09-16T10:41:06Z
legacy paper: id: adar-gpt-editing-2026; title: ADAR-GPT: A continually fine-tuned language model for predicting A-to-I RNA editing sites; year: 2026; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12798952/; primary domain: rna-transcriptomes; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: Proceedings of the National Academy of Sciences of the United States of America; PMC ID: PMC12798952. RNA editing site benchmark on a restricted liver validation set.; doi: 10.1073/pnas.2529073123
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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