Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.

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Title: Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.
Authors: Gueto-Tettay, Carlos1 (AUTHOR), Tang, Di1 (AUTHOR), Happonen, Lotta1 (AUTHOR), Heusel, Moritz1 (AUTHOR), Khakzad, Hamed2 (AUTHOR), Malmström, Johan1 (AUTHOR), Malmström, Lars1 (AUTHOR) lars.malmstroem@med.lu.se
Source: PLoS Computational Biology. 1/20/2023, Vol. 19 Issue 1, p1-21. 21p. 3 Diagrams, 5 Graphs.
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  Data: Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 1/20/2023, Vol. 19 Issue 1, p1-21. 21p. 3 Diagrams, 5 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=161419366
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        Value: 10.1371/journal.pcbi.1010457
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        Text: English
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      – TitleFull: Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.
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              Text: 1/20/2023
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              Y: 2023
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