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Titel:

Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Gabriel, Wassim; The, Matthew; Zolg, Daniel P.; Bayer, Florian P.; Shouman, Omar; Lautenbacher, Ludwig; Schnatbaum, Karsten; Zerweck, Johannes; Knaute, Tobias; Delanghe, Bernard; Huhmer, Andreas; Wenschuh, Holger; Reimer, Ulf; Médard, Guillaume; Kuster, Bernhard; Wilhelm, Mathias
Abstract:
The prediction of fragment ion intensities and retention time of peptides has gained significant attention over the past few years. However, the progress shown in the accurate prediction of such properties focused primarily on unlabeled peptides. Tandem mass tags (TMT) are chemical peptide labels that are coupled to free amine groups usually after protein digestion to enable the multiplexed analysis of multiple samples in bottom-up mass spectrometry. It is a standard workflow in proteomics rangi...     »
Stichworte:
BayBioMS; Peptide identification,Fragmentation,Ions,Mass spectrometry
Zeitschriftentitel:
Analytical Chemistry
Jahr:
2022
Volltext / DOI:
doi:10.1021/acs.analchem.1c05435
Verlag / Institution:
American Chemical Society (ACS)
E-ISSN:
0003-27001520-6882
Publikationsdatum:
12.05.2022
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