| The target landscape of clinical kinase drugs S Klaeger, S Heinzlmeir, M Wilhelm, H Polzer, B Vick, PA Koenig, ... Science 358 (6367), eaan4368, 2017 | 847 | 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 | 823 | 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 | 699 | 2019 |
| 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 | 257 | 2017 |
| Generating high quality libraries for DIA MS with empirically corrected peptide predictions BC Searle, KE Swearingen, CA Barnes, T Schmidt, S Gessulat, B Küster, ... Nature communications 11 (1), 1548, 2020 | 254 | 2020 |
| ProteomicsDB T Schmidt, P Samaras, M Frejno, S Gessulat, M Barnert, H Kienegger, ... Nucleic acids research 46 (D1), D1271-D1281, 2018 | 240 | 2018 |
| ProteomicsDB: a multi-omics and multi-organism resource for life science research P Samaras, T Schmidt, M Frejno, S Gessulat, M Reinecke, A Jarzab, ... Nucleic acids research 48 (D1), D1153-D1163, 2020 | 209 | 2020 |
| 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 | 121 | 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 | 106 | 2018 |
| 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 | 9 | 2021 |
| Unifying the analysis of bottom-up proteomics data with CHIMERYS M Frejno, MT Berger, J Tueshaus, A Hogrebe, F Seefried, M Graber, ... BioRxiv, 2024.05. 27.596040, 2024 | 5 | 2024 |
| CiRCus: a framework to enable classification of complex high-throughput experiments F Seefried, T Schmidt, M Reinecke, S Heinzlmeir, B Kuster, M Wilhelm Journal of Proteome Research 18 (4), 1486-1493, 2019 | 5 | 2019 |
Mathias WilhelmComputational Mass Spectrometry, Technical University of MunichΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tum.de