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. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 161419366 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=161419366 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1010457 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Titles: – TitleFull: Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gueto-Tettay, Carlos – PersonEntity: Name: NameFull: Tang, Di – PersonEntity: Name: NameFull: Happonen, Lotta – PersonEntity: Name: NameFull: Heusel, Moritz – PersonEntity: Name: NameFull: Khakzad, Hamed – PersonEntity: Name: NameFull: Malmström, Johan – PersonEntity: Name: NameFull: Malmström, Lars IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 01 Text: 1/20/2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 19 – Type: issue Value: 1 Titles: – TitleFull: PLoS Computational Biology Type: main |
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