Prosit: Proteome-wide prediction of peptide tandem mass spectra by deep learning

ABSTRACT: In this study, we extended the ProteomeTools peptide library (PROPEL, see PXD004732 and PXD010595) to train a deep neural network resulting in chromatographic retention time and fragment ion intensity predictions for (tryptic) peptides that exceed the quality of the experimental data.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human) Escherichia Coli Caenorhabditis Elegans Saccharomyces Cerevisiae (baker's Yeast) Drosophila Melanogaster (fruit Fly)

SUBMITTER: Tobias Schmidt  

LAB HEAD: Bernhard Kuster

PROVIDER: PXD010871 | Pride | 2019-05-30

REPOSITORIES: Pride