Casanovo
Transformer encoder-decoder for de novo peptide sequencing from tandem mass spectrometry, translating MS/MS spectra directly to peptide sequences without reference databases, enabling identification of novel peptides for immunopeptidomics, antibody repertoires, and metaproteomes (Noble Lab UW, Nature Communications 2024)
README
Casanovo De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model Casanovo is a state-of-the-art deep learning tool designed for de novo peptide sequencing. Powered by a transformer neural network, Casanovo "translates" peaks in MS/MS spectra into amino acid sequences with remarkable precision. Casanovo can be used to find unexpected peptide sequences in any data-dependent acquisition, bottom-up tandem mass spectrometry dataset, and is particularly useful for immunopeptidomics,…
- Repository
- github.com/noble-lab/casanovo
Source attribution
- GitHub — github.com/noble-lab/casanovo
- Awesome AI for Science — github.com/noble-lab/casanovo
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