CompOmics/DeepLC
DeepLC: Retention time prediction for peptides carrying any modification.
DeepLC helps proteomics researchers accurately predict how long peptides will take to pass through a liquid chromatography (LC) column. You provide a list of peptide sequences, including any chemical modifications, and it outputs their predicted retention times. This is useful for scientists working with mass spectrometry data who need to identify and quantify peptides, especially those with novel modifications.
75 stars and 2,012 monthly downloads. Available on PyPI.
Use this if you need to reliably predict peptide retention times, particularly for peptides with various or even previously unobserved modifications, to aid in mass spectrometry data analysis.
Not ideal if your work does not involve peptide identification or quantification using liquid chromatography-mass spectrometry.
Stars
75
Forks
24
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 26, 2026
Monthly downloads
2,012
Commits (30d)
0
Dependencies
6
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