SNAP-25 Degradome Atlas: Predicted Proteolytic Peptide Fragments

A theoretical reconstruction of the proteolytic degradome for the neuronal SNARE protein SNAP-25. The dataset enumerates all predicted peptide fragments from the human SNAP-25 primary sequence, including both major splice isoforms A and B. It was created by Axel Petzold and last updated on 2026-04-28.

Use Cases

• Identify potential mass spectrometry targets based on predicted peptide mass-to-charge ratios (m/z).
• Screen for candidate biomarkers of synaptic dysfunction based on annotated peptide physicochemical properties.
• Study proteolytic regulation of SNAP-25 by comparing theoretical cleavage fragments against experimental data.
• Train machine learning models for peptide property prediction using features like Boman index and hydrophobicity.

Strengths

• Includes both major SNAP-25 splice variants (isoforms A and B), covering differential neuronal expression.
• Provides 10 calculated physicochemical properties per peptide, including molecular weight, isoelectric point, and instability index.
• Dataset is fully reproducible, generated via a Python workflow as described in the methods summary.
• Released under a permissive CC0-1.0 license, allowing unrestricted reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data contains theoretical predictions; experimental validation of fragments is not included.

Provenance

Source

figshare

Collection Method

Generated using a reproducible Python workflow that enumerates theoretical proteolytic fragments from the human SNAP-25 primary sequence.

Freshness

Last updated 2026-04-28 12:36:59; freshness should be verified.