Daniel P Zolg
Daniel P Zolg
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Cited by
Cited by
The target landscape of clinical kinase drugs
S Klaeger, S Heinzlmeir, M Wilhelm, H Polzer, B Vick, PA Koenig, ...
Science 358 (6367), eaan4368, 2017
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
S Gessulat, T Schmidt, DP Zolg, P Samaras, K Schnatbaum, J Zerweck, ...
Nature methods 16 (6), 509-518, 2019
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
D Wang, B Eraslan, T Wieland, B Hallström, T Hopf, DP Zolg, J Zecha, ...
Molecular systems biology 15 (2), e8503, 2019
Mass-spectrometry-based draft of the Arabidopsis proteome
J Mergner, M Frejno, M List, M Papacek, X Chen, A Chaudhary, ...
Nature 579 (7799), 409-414, 2020
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS
Y Bian, R Zheng, FP Bayer, C Wong, YC Chang, C Meng, DP Zolg, ...
Nature communications 11 (1), 157, 2020
Building ProteomeTools based on a complete synthetic human proteome
DP Zolg, M Wilhelm, K Schnatbaum, J Zerweck, T Knaute, B Delanghe, ...
Nature methods 14 (3), 259-262, 2017
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics
M Wilhelm, DP Zolg, M Graber, S Gessulat, T Schmidt, K Schnatbaum, ...
Nature communications 12 (1), 3346, 2021
Peptide level turnover measurements enable the study of proteoform dynamics
J Zecha, C Meng, DP Zolg, P Samaras, M Wilhelm, B Kuster
Molecular & Cellular Proteomics 17 (5), 974-992, 2018
Mining the human tissue proteome for protein citrullination
CY Lee, D Wang, M Wilhelm, DP Zolg, T Schmidt, K Schnatbaum, ...
Molecular & Cellular Proteomics 17 (7), 1378-1391, 2018
ProteomeTools: Systematic characterization of 21 post-translational protein modifications by liquid chromatography tandem mass spectrometry (LC-MS/MS) using synthetic peptides
DP Zolg, M Wilhelm, T Schmidt, G Médard, J Zerweck, T Knaute, ...
Molecular & Cellular Proteomics 17 (9), 1850-1863, 2018
PROCAL: a set of 40 peptide standards for retention time indexing, column performance monitoring, and collision energy calibration
DP Zolg, M Wilhelm, P Yu, T Knaute, J Zerweck, H Wenschuh, U Reimer, ...
Proteomics 17 (21), 1700263, 2017
INFERYS rescoring: Boosting peptide identifications and scoring confidence of database search results
DP Zolg, S Gessulat, C Paschke, M Graber, M Rathke‐Kuhnert, F Seefried, ...
Rapid Communications in Mass Spectrometry, e9128, 2021
High pH reversed-phase micro-columns for simple, sensitive, and efficient fractionation of proteome and (TMT labeled) phosphoproteome digests
B Ruprecht, J Zecha, DP Zolg, B Kuster
Proteomics: Methods and Protocols, 83-98, 2017
Trimodal mixed mode chromatography that enables efficient offline two-dimensional peptide fractionation for proteome analysis
P Yu, S Petzoldt, M Wilhelm, DP Zolg, R Zheng, X Sun, X Liu, G Schneider, ...
Analytical chemistry 89 (17), 8884-8891, 2017
Chemical phosphoproteomics sheds new light on the targets and modes of action of AKT inhibitors
S Wiechmann, B Ruprecht, T Siekmann, R Zheng, M Frejno, E Kunold, ...
ACS Chemical Biology 16 (4), 631-641, 2021
Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification
C Tretter, N de Andrade Krätzig, M Pecoraro, S Lange, P Seifert, ...
Nature communications 14 (1), 4632, 2023
Prosit-TMT: deep learning boosts identification of TMT-labeled peptides
W Gabriel, M The, DP Zolg, FP Bayer, O Shouman, L Lautenbacher, ...
Analytical Chemistry 94 (20), 7181-7190, 2022
Discovery of suppressors of CRMP2 phosphorylation reveals compounds that mimic the behavioral effects of lithium on amphetamine-induced hyperlocomotion
WN Zhao, BTD Tobe, ND Udeshi, LL Xuan, CD Pernia, DP Zolg, ...
Translational Psychiatry 10 (1), 76, 2020
Fast and accurate determination of cysteine reduction and alkylation efficacy in proteomics workflows
K Schnatbaum, D Zolg, H Wenschuh, U Reimer
JPT Application Note, 2016
CHIMERYS: An AI-Driven Leap Forward in Peptide Identification
M Frejno, DP Zolg, T Schmidt, S Gessulat, M Graber, F Seefried, ...
the 69th ASMS Conference on Mass Spectrometry and Allied Topics, 2021
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