Researchgradient boostingprotein variantssequence deletionsvariants of uncertain significance
PON-Del Predicts Sequence-Retaining Protein Deletions Accurately
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8.3
Zhang, Kabir and Vihinen publish PON-Del (Feb 25, 2026), a gradient boosting–based predictor for 1–10 amino acid sequence-retaining protein deletions. Trained on an extensive verified dataset, PON-Del is the first deletion tool to include three-state outputs (pathogenic, benign, variants of uncertain significance) and outperforms prior methods; code and data are publicly available.
Scoring Rationale
Peer-reviewed new tool with reproducible data and VUS support, but algorithmic novelty is limited compared to deep-learning approaches.
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