Using predicted enzymatic and chemical cleavage sites, systematically all possible peptide fragments site are generated and annotated each with key physicochemical properties relevant for proteomics and biomarker discovery. These include molecular weight, mass-to-charge ratio (m/z), net charge, isoelectric point, hydrophobicity, Boman index, instability index, and aliphatic index.

The resulting dataset provides a feature-rich reference for peptide-level analysis of β-synuclein biology and is designed to support a wide range of applications, including mass-spectrometry assay design, biomarker discovery in neurodegenerative diseases, degradome modelling, and machine-learning approaches in proteomics.

The atlas includes wild-type β-synuclein and disease-associated variants (V70M and P123H) and is accompanied by fully reproducible Python scripts. Future releases will expand the resource with additional mutations and experimentally validated cleavage products.

This dataset provides a foundation reference for degradome-centred biomarker research.