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INDELVAR: structure-informed prediction of in-frame indel pathogenicity with calibrated PP3/BP4 thresholds

2026-08-18

Abstract excerpt

In-frame insertions and deletions are difficult to interpret because their effects depend on both the sequence change and its protein context. We developed INDELVAR, a random forest model for in-frame insertions and deletions of 1-10 amino acids that integrates 37 features describing AlphaFold-derived wild-type structural context, evolutionary conservation, local sequence change, gene constraint, and curated prote...

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Literature Corpus work
5bf1026e-4f80-542a-a8d9-e7e3417ea069
DOI
10.64898/2026.08.13.737497
Open publication

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INDELVAR: structure-informed prediction of in-frame indel pathogenicity with calibrated PP3/BP4 thresholdsDOI 10.64898/2026.08.13.737497
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