PepFuNN: Novo Nordisk Open-Source Toolkit to Enable Peptide in Silico Analysis

Overview

Journal J Pept Sci

Date 2025 Jan 8

PMID 39777768

Authors

Rodrigo Ochoa

Kristine Deibler

Affiliations

Soon will be listed here.

Abstract

We present PepFuNN, a new open-source version of the PepFun package with functions to study the chemical space of peptide libraries and perform structure-activity relationship analyses. PepFuNN is a Python package comprising five modules to study peptides with natural amino acids and, in some cases, sequences with non-natural amino acids based on the availability of a public monomer dictionary. The modules allow calculating physicochemical properties, performing similarity analysis using different peptide representations, clustering peptides using molecular fingerprints or calculated descriptors, designing peptide libraries based on specific requirements, and a module dedicated to extracting matched pairs from experimental campaigns to guide the selection of the most relevant mutations in design new rounds. The code and tutorials are available at https://github.com/novonordisk-research/pepfunn.

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