AP3

AP3 predicts proteotypic peptides by integrating peptide digestibility into detectability models to improve peptide selection for LC-MS/MS-based shotgun and targeted proteomics.

Key Features:

• Peptide Digestibility Integration: AP3 incorporates peptide digestibility as a primary feature for predicting peptide detectability.
• Enhanced Prediction Accuracy: AP3 reports improved prediction accuracy ranging from 10.3% to 34.7% compared to existing algorithms.
• Modeling Peptide Detectability: AP3 models peptide detectability for LC-MS/MS by using predicted digestibility as an input feature.

Scientific Applications:

• Targeted proteomics: AP3 aids selection of proteotypic peptides for reliable protein quantification and targeted assay design.
• LC-MS/MS-based shotgun proteomics: AP3 improves identification of detectable peptides by accounting for proteolytic digestion effects on peptide observability.

Methodology:

Two computational steps: predict peptide digestibility for each peptide, then integrate the predicted digestibility into a detectability prediction model for LC-MS/MS analysis.