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PepFun 2.0

Open protocols for peptide analysis - analyze natural and modified peptides using machine learning

Sequence Analysis

Calculate physicochemical properties and compare sequences
Conformer Generation

Generate 3D structures using RDKit or Modeller
Interaction Analysis

Analyze protein-peptide interactions and contacts
Library Generation

Generate peptide libraries for screening
Modified Peptides

Analyze peptides with non-natural amino acids
About PepFun 2.0

PepFun 2.0 is a comprehensive Python package for the analysis of natural and modified peptides. It provides a set of modules to study the sequence and structure of peptide molecules, with support for both standard amino acids and non-natural amino acids (NNAAs).

Key Features
  • Sequence Analysis: Calculate physicochemical properties
  • 3D Structure: Generate conformers
  • Interactions: Analyze protein-peptide complexes
  • Libraries: Generate peptide libraries
  • Modified Peptides: Non-natural amino acids
  • Batch Processing: High-throughput analysis
Citation

If you use PepFun 2.0 in your research, please cite:
Ochoa R, Cossio P. "PepFun 2.0: improved protocols for the analysis of natural and modified peptides". Future Drug Discovery (2023).