MannLabs/alphapeptdeep
Deep learning framework for proteomics
This tool helps proteomics researchers easily build and apply deep learning models for analyzing shotgun proteomics data. It takes in peptide sequences and generates predictions for retention time (RT), collision cross section (CCS), and tandem mass spectra (MS2). Scientists can use these predictions to create comprehensive libraries for identifying and quantifying proteins in their experiments.
146 stars.
Use this if you are a proteomics researcher who needs to predict peptide properties (RT, CCS, MS2) or build custom deep learning models for your mass spectrometry data analysis.
Not ideal if you are looking for a general-purpose machine learning library not specifically tailored for proteomics applications.
Stars
146
Forks
25
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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