{"id":"W2947763854","doi":"10.1038/s41592-019-0426-7","title":"Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning","year":2019,"lang":"en","type":"article","venue":"Nature Methods","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":979,"is_retracted":false,"has_abstract":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Bundesministerium für Bildung und Forschung; Agence Nationale de la Recherche; Nvidia","keywords":"Tandem mass spectrometry; Database search engine; Proteome; Computer science; Bottom-up proteomics; Proteomics; Computational biology; Mass spectrometry; Peptide; Deep learning; Artificial intelligence; Chemistry; Chromatography; Search engine; Protein mass spectrometry; Biology; Biochemistry; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00743944056699306,"score_gpt":0.3140974849949114,"score_spread":0.3066580444279183,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}