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Page 1
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning.
Gessulat S, Schmidt T, Zolg DP, Samaras P, Schnatbaum K, Zerweck J, Knaute T, Rechenberger J, Delanghe B, Huhmer A, Reimer U, Ehrlich HC, Aiche S, Kuster B, Wilhelm M. Gessulat S, et al. Among authors: zerweck j. Nat Methods. 2019 Jun;16(6):509-518. doi: 10.1038/s41592-019-0426-7. Epub 2019 May 27. Nat Methods. 2019. PMID: 31133760
Building ProteomeTools based on a complete synthetic human proteome.
Zolg DP, Wilhelm M, Schnatbaum K, Zerweck J, Knaute T, Delanghe B, Bailey DJ, Gessulat S, Ehrlich HC, Weininger M, Yu P, Schlegl J, Kramer K, Schmidt T, Kusebauch U, Deutsch EW, Aebersold R, Moritz RL, Wenschuh H, Moehring T, Aiche S, Huhmer A, Reimer U, Kuster B. Zolg DP, et al. Among authors: zerweck j. Nat Methods. 2017 Mar;14(3):259-262. doi: 10.1038/nmeth.4153. Epub 2017 Jan 30. Nat Methods. 2017. PMID: 28135259 Free PMC article.
ProteomeTools: Systematic Characterization of 21 Post-translational Protein Modifications by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) Using Synthetic Peptides.
Zolg DP, Wilhelm M, Schmidt T, Médard G, Zerweck J, Knaute T, Wenschuh H, Reimer U, Schnatbaum K, Kuster B. Zolg DP, et al. Among authors: zerweck j. Mol Cell Proteomics. 2018 Sep;17(9):1850-1863. doi: 10.1074/mcp.TIR118.000783. Epub 2018 May 29. Mol Cell Proteomics. 2018. PMID: 29848782 Free PMC article.
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics.
Wilhelm M, Zolg DP, Graber M, Gessulat S, Schmidt T, Schnatbaum K, Schwencke-Westphal C, Seifert P, de Andrade Krätzig N, Zerweck J, Knaute T, Bräunlein E, Samaras P, Lautenbacher L, Klaeger S, Wenschuh H, Rad R, Delanghe B, Huhmer A, Carr SA, Clauser KR, Krackhardt AM, Reimer U, Kuster B. Wilhelm M, et al. Among authors: zerweck j. Nat Commun. 2021 Jun 7;12(1):3346. doi: 10.1038/s41467-021-23713-9. Nat Commun. 2021. PMID: 34099720 Free PMC article.
Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics.
Wilhelm M, Zolg DP, Graber M, Gessulat S, Schmidt T, Schnatbaum K, Schwencke-Westphal C, Seifert P, de Andrade Krätzig N, Zerweck J, Knaute T, Bräunlein E, Samaras P, Lautenbacher L, Klaeger S, Wenschuh H, Rad R, Delanghe B, Huhmer A, Carr SA, Clauser KR, Krackhardt AM, Reimer U, Kuster B. Wilhelm M, et al. Among authors: zerweck j. Nat Commun. 2021 Jun 23;12(1):4002. doi: 10.1038/s41467-021-24263-w. Nat Commun. 2021. PMID: 34162890 Free PMC article. No abstract available.
Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides.
Gabriel W, The M, Zolg DP, Bayer FP, Shouman O, Lautenbacher L, Schnatbaum K, Zerweck J, Knaute T, Delanghe B, Huhmer A, Wenschuh H, Reimer U, Médard G, Kuster B, Wilhelm M. Gabriel W, et al. Among authors: zerweck j. Anal Chem. 2022 May 24;94(20):7181-7190. doi: 10.1021/acs.analchem.1c05435. Epub 2022 May 12. Anal Chem. 2022. PMID: 35549156
New Approaches for Absolute Quantification of Stable-Isotope-Labeled Peptide Standards for Targeted Proteomics Based on a UV Active Tag.
Schnatbaum K, Solis-Mezarino V, Pokrovsky D, Schäfer F, Nagl D, Hornberger L, Zerweck J, Knaute T, Avramova-Nehmer J, Schutkowski M, Hornung V, Wenschuh H, Völker-Albert MC, Imhof A, Reimer U. Schnatbaum K, et al. Among authors: zerweck j. Proteomics. 2020 May;20(10):e2000007. doi: 10.1002/pmic.202000007. Epub 2020 May 20. Proteomics. 2020. PMID: 32267065
53 results