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PON-Del predictor for sequence retaining protein deletions.

Haoyang Zhang1, Muhammad Kabir1, Mauno Vihinen1

  • 1Department of Experimental Medical Science, Lund University, Lund, Sweden.

Plos Computational Biology
|February 25, 2026
PubMed
Summary
This summary is machine-generated.

We created PON-Del, a new tool to predict protein deletions that don't change downstream sequences. It accurately classifies variants, including uncertain ones, improving upon existing methods for genetic variant interpretation.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Protein deletions are common genetic variants, arising from various DNA, RNA, and protein-level mechanisms.
  • Misclassification of deletions is frequent, particularly when mRNA degradation by cellular quality-control mechanisms occurs.
  • Existing methods often overlook variants of uncertain significance (VUSs), a crucial category in variant interpretation.

Purpose of the Study:

  • To develop a novel predictor, PON-Del, for sequence-retaining protein deletions.
  • To address the classification of variants of uncertain significance (VUSs) in protein deletion analysis.
  • To improve the accuracy and scope of protein deletion variant interpretation.

Main Methods:

  • Collected an extensive dataset of verified protein deletions with comprehensive features.
  • Evaluated both statistical and deep learning algorithms for predictive modeling.
  • Developed PON-Del using a gradient boosting-based approach for short deletions (1-10 amino acids).

Main Results:

  • PON-Del demonstrates superior performance compared to previous protein deletion prediction methods.
  • The predictor accurately identifies sequence-retaining protein deletions.
  • PON-Del is the first method to incorporate VUSs, offering both binary and three-state predictions.

Conclusions:

  • PON-Del offers a significant advancement in the accurate prediction and classification of protein deletions.
  • The inclusion of VUSs enhances the clinical utility of variant interpretation tools.
  • PON-Del provides a valuable, freely available resource for researchers and clinicians studying genetic variants.