Multi-modal Peptide Property Prediction with CompOmics Tools

proteomics
prediction
python
ms2pip
deeplc
im2deep
Predict fragment ion intensities (MS2PIP), retention times (DeepLC), and ion mobility / CCS values (IM2Deep) for any peptide sequence.
Published

June 10, 2026

This tutorial covers three complementary CompOmics predictors that together characterise a peptide’s behaviour in an LC-MS/MS experiment: MS2PIP (MS2 fragment ion intensities), DeepLC (retention time), and IM2Deep (collisional cross section). Combined, they provide the feature set needed to build in silico spectral libraries or to rescore PSMs with MS2Rescore.

The source notebook is available in the CompOmics website repository.