| The target landscape of clinical kinase drugs S Klaeger, S Heinzlmeir, M Wilhelm, H Polzer, B Vick, PA Koenig, ... Science 358 (6367), eaan4368, 2017 | 774 | 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 | 703 | 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 | 616 | 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 | 383 | 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 | 293 | 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 | 236 | 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 | 135 | 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 | 117 | 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 | 110 | 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 | 88 | 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 | 66 | 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 | 51 | 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 | 47 | 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 | 35 | 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 | 21 | 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 | 15 | 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 | 13 | 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 | 12 | 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 | 7 | 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 | 6 | 2021 |
Bernhard KusterProfessor for Proteomics and Bioanalytics在 tum.de 的电子邮件经过验证
