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): Orbitrap Fusion ETD

ORGANISM(S): Drosophila Melanogaster (ncbitaxon:7227) Escherichia Coli (ncbitaxon:562) Saccharomyces Cerevisiae (ncbitaxon:4932) Homo Sapiens (ncbitaxon:9606) Caenorhabditis Elegans (ncbitaxon:6239)

SUBMITTER: Bernhard Kuster  

PROVIDER: MSV000087047 | MassIVE | Fri Mar 12 19:34:00 GMT 2021

SECONDARY ACCESSION(S): PXD010871

REPOSITORIES: MassIVE