Gamma-Synuclein Degradome Atlas: In Silico Peptide Library for Biomarker Discovery

An in silico reconstruction of the theoretical peptide landscape generated from the proteolytic cleavage of the protein γ-synuclein. The dataset, version 1, includes wild-type γ-synuclein alongside key disease-associated variants and is accompanied by reproducible Python scripts. It was authored by Axel Petzold and last updated on June 4, 2026.

Use Cases

• Designing SRM/PRM mass-spectrometry assays based on predicted peptide fragments.
• Identifying novel fragmentation targets for biomarker discovery in neurodegenerative diseases and cancer.
• Providing training data for degradome modelling and machine-learning approaches in computational proteomics.

Strengths

• Includes both wild-type γ-synuclein and key disease-associated variants.
• Accompanied by fully reproducible Python scripts to modify cleavage parameters.
• Annotates peptide fragments with critical physicochemical properties like molecular weight, m/z, and pI.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (451.4 KB), indicating a limited theoretical scope.

Provenance

Source

figshare

Collection Method

In silico reconstruction using predicted enzymatic and chemical cleavage sites.

Freshness

Last updated 2026-06-04 16:14:59