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- W4328104865 abstract "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. Both natural and modified peptides containing non-natural amino acids require customized tools to run sequence and structure-based studies. PepFun 2.0 is a new version of the python package for the study of natural and modified peptides using a set of modules to analyze the sequence and structure of the molecules. PepFun 2.0 comprises five main modules for different tasks such as sequence alignments, prediction of properties, generation of conformers, modification of structures, detection of protein-peptide interactions, and extra functions to include peptides containing non-natural amino acids. The code and tutorial are available at: https://github.com/rochoa85/PepFun2" @default.
- W4328104865 created "2023-03-22" @default.
- W4328104865 creator A5041873604 @default.
- W4328104865 date "2023-03-21" @default.
- W4328104865 modified "2023-10-09" @default.
- W4328104865 title "PepFun 2.0: improved protocols for the analysis of natural and modified peptides" @default.
- W4328104865 doi "https://doi.org/10.26434/chemrxiv-2023-cwr53" @default.
- W4328104865 hasPublicationYear "2023" @default.
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