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
Family	CNN + RNN
Deep learning	yes
Acquisition	DDA

Code

• https://github.com/kusterlab/prosit

Live stars, open issues and last-push figures are on the Code activity chart.

Papers

• 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

Seen in the charts

• The architectures
• Code activity
• Models and the authors behind them

Back to the full map