VILIP-1 Degradome Atlas: Theoretical Proteolytic Peptides with Physicochemical Properties

Version 1 of the VILIP-1 Degradome Foundation Atlas enumerates the theoretical proteolytic fragment landscape of the neuronal calcium-sensor protein Visinin-like protein-1. The dataset, created by Axel Petzold and last updated in April 2026, provides a panel of calculated physicochemical properties for each predicted peptide, including mass-to-charge ratio, molecular weight, and isoelectric point. It is an open-access, FAIR-compliant reference dataset generated via a reproducible Python workflow.

Use Cases

• Identify potential mass spectrometry targets based on predicted peptide mass-to-charge ratios and molecular weights.
• Screen for stable biomarker candidates using calculated properties like instability index and Boman index.
• Filter peptide fragments for experimental design based on physicochemical features such as net charge and hydrophobicity.

Strengths

• Dataset is fully reproducible and FAIR-compliant, with a documented Python workflow.
• Provides a unified panel of 10+ calculated physicochemical properties for each predicted peptide.
• Released under a permissive CC0-1.0 license for unrestricted reuse.

Limitations

• Data is theoretical and in silico; experimental validation of the predicted fragments is not included.
• Row count is unknown, which may limit suitability assessment for large-scale computational tasks.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Axel Petzold via figshare.

Collection Method

Generated in silico using a reproducible Python workflow that defined cleavage sites, enumerated fragments, and calculated peptide properties.

Freshness

Last updated 2026-04-20 10:39:04.