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DbyDeep - Exploration of MS detectable peptides via deep learning ( Software download )
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| DbyDeep (Detectability by Deep learning) is an innovative end-to-end LSTM network model for peptide detectability prediction that incorporates sequence contexts of peptides and their cleavage sites (by protease). Utilizing the cleavage site contexts could improve the performance of prediction, and DbyDeep outperformed existing methods in predicting peptides recognizable from multiple MS/MS data sets with diverse species and MS instruments. |
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 Publication
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DbyDeep: Exploration of MS-Detectable Peptides via Deep Learning
Juho Son, Seungjin Na, and Eunok Paek.
Analytical Chemistry, 2023, 95, 30, 11193-11200. [ PMID: 37459568 ] |
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