Back to search

Article

A fine-tuned genomic language model captures nucleotide-level information overlooked by missense variant impact predictors

2026-05-11

Abstract excerpt

Missense variant interpretation remains a major challenge in clinical genomics. Existing missense variant impact predictors achieve strong performance, but they emphasize protein-level consequences and often share overlapping annotation priors. A missense annotation specifies the encoded amino-acid substitution, but the underlying nucleotide change may also act through nucleotide sequence context that protein-cent...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6cf2e43b-c570-5821-81d0-e60288cbc2e7
DOI
10.64898/2026.05.06.723362
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A fine-tuned genomic language model captures nucleotide-level information overlooked by missense variant impact predictorsDOI 10.64898/2026.05.06.723362
Select a neighboring publication to make it the new centre.