peptidy

peptidy converts peptide sequences to numerical representations suitable for machine learning tasks.

Key Features:

• Multiple encoding strategies: Supports a range of encoding strategies suitable for both predictive and generative machine learning approaches.
• Post-translational modification support: Supports peptides with post-translational modifications, including phosphorylation, acetylation, and methylation.
• Dependency-free implementation: Operates without external dependencies and integrates into modern Python environments.

Scientific Applications:

• Peptide-based machine learning: Enables numerical representation of peptides for predictive and generative machine learning in peptide research.
• Modified peptide analysis: Facilitates machine learning on peptides containing post-translational modifications.

Methodology:

peptidy converts amino acid sequences to numerical representations using various encoding strategies; specific algorithmic details are not stated in the sources.