Prosit

adjacent · CNN + RNN

Prosit: adjacent · CNN + RNN. Deep-learning (bidirectional RNN + attention) predictor of peptide fragment-ion intensities and retention times: widely used to validate and rescore de novo sequencing…

Deep-learning (bidirectional RNN + attention) predictor of peptide fragment-ion intensities and retention times: widely used to validate and rescore de novo sequencing candidates against predicted spectra.

Kind	adjacent
Deep learning	yes
Acquisition	DDA
Family	CNN + RNN

Code

• https://github.com/kusterlab/prosit

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Paper describing it

• Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning (2019, Nature Methods, peer-reviewed)

Authors (15)

Siegfried Gessulat, Tobias Schmidt, Daniel Paul Zolg, Patroklos Samaras, Karsten Schnatbaum, Johannes Zerweck, Tobias Knaute, Julia Rechenberger, Bernard Delanghe, Andreas Huhmer, Ulf Reimer, Hans-Christian Ehrlich, Stephan Aiche, Bernhard Kuster, Mathias Wilhelm

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