Sign in
Ctrl K


Generate and compare deep learning models for generating synthetic mass spectral libraries


What aiproteomics can do for you

This package contains various tools, datasets and ML model implementations from the field of (phospho-)proteomics. It is intended to facilitate the testing and comparison of different neural network architectures and existing models, using the same datasets. Both retention time and fragmentation (MSMS) models are included.

Implementations of existing models from the literature are intended to be modifiable/extendable. For example, so that tests may be carried out with different peptide input lengths etc.

Logo of aiproteomics
Programming languages
  • Python 99%
  • Shell 1%
</>Source code

Participating organisations

Netherlands eScience Center
Amsterdam University Medical Centers, location VU
Life Sciences
Life Sciences


Robin Richardson
Robin Richardson

Related projects

Transformer-based deep learning for next generation mass spectrometry-based phosphoproteomics

Updated 14 months ago
In progress

Related software



Python library for fuzzy comparison of mass spectrum data and other Python objects

Updated 8 months ago
60 14