PepFun 2.0: improved protocols for the analysis of natural and modified peptides

Abstract

Aim: The role of peptides is nowadays relevant in fields, such as drug discovery and biotechnology. Computational analyses are required to study their properties and gain insights into rational design strategies. Materials & methods: PepFun 2.0 is a new version of the python package for the study of peptides using a set of modules to analyze the sequence and structure of the molecules. Both natural and modified peptides containing non-natural amino acids can be studied based on the provided functionalities. Results: PepFun 2.0 comprises five main modules for tasks such as sequence alignments, prediction of properties, generation of conformers, detection of interactions and extra functions to include peptides containing non-natural amino acids. Conclusion: The code, tutorial and specific examples are open source and available at: https://github.com/rochoa85/PepFun2 .