Computational Proteomics Training European Innovative Network

Part of EU Open Research Repository
Published May 10, 2026 | Version 2.00
Computational notebook Open

Code and data sets for "iDeepLC: chemical structure information yields improved retention time prediction of peptides with unseen modifications" to generate manuscript figures

Authors/Creators

  • 1. ROR icon VIB-UGent Center for Medical Biotechnology

Description

Scripts used to train iDeepLC models, evaluate retention time predictions and generate manuscript figures. After unzipping the "Zenodo_iDeepLC.zip" file, see README.md for detailed information on how to generate figures and how the folder structure needs to be.

Files

Zenodo_iDeepLC.zip

Files (7.9 GB)

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Additional details

Funding

European Commission
PROTrEIN - Computational Proteomics Training European Innovative Network 956148