Beta-Synuclein Degradome Atlas with Wild-Type and Disease Variants

An in silico reconstruction of the theoretical peptide landscape from proteolytic cleavage of beta-synuclein. The dataset includes wild-type and disease-associated variants (V70M and P123H), with each fragment annotated with physicochemical properties. It was created by Axel Petzold and last updated on 2026-04 -13.

Use Cases

• Design mass-spectrometry assays based on predicted peptide mass-to-charge ratios and molecular weights.
• Discover biomarkers for neurodegenerative diseases based on the annotated degradome of beta-synuclein.
• Model protein degradomes using the systematic enumeration of possible peptide fragments.
• Apply machine-learning approaches in proteomics using the dataset's annotated physicochemical properties.

Strengths

• Includes wild-type and two disease-associated variants (V70M and P123H).
• Peptide fragments are annotated with eight key physicochemical properties, including molecular weight and hydrophobicity.
• Accompanied by fully reproducible Python scripts for transparency.
• Released under a permissive CC0-1.0 license.

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 a theoretical in silico reconstruction; experimental validation is noted for future releases.

Provenance

Source

Axel Petzold via figshare.

Collection Method

In silico prediction and systematic generation of peptide fragments from enzymatic and chemical cleavage sites.

Time Range

Theoretical coverage of the beta-synuclein protein sequence.

Freshness

Last updated 2026-04-13 15:05:03.

Geography

Not applicable.