Следене
Mathias Wilhelm
Mathias Wilhelm
Computational Mass Spectrometry, Technical University of Munich
Потвърден имейл адрес: tum.de - Начална страница
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Позовавания
Позовавания
Година
Mass-spectrometry-based draft of the human proteome
M Wilhelm, J Schlegl, H Hahne, AM Gholami, M Lieberenz, MM Savitski, ...
Nature 509 (7502), 582-587, 2014
18882014
The target landscape of clinical kinase drugs
S Klaeger, S Heinzlmeir, M Wilhelm, H Polzer, B Vick, PA Koenig, ...
Science 358 (6367), eaan4368, 2017
6092017
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
4352019
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
4092019
A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets [S]
MM Savitski, M Wilhelm, H Hahne, B Kuster, M Bantscheff
Molecular & Cellular Proteomics 14 (9), 2394-2404, 2015
3202015
Global proteome analysis of the NCI-60 cell line panel
AM Gholami, H Hahne, Z Wu, FJ Auer, C Meng, M Wilhelm, B Kuster
Cell reports 4 (3), 609-620, 2013
3092013
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
2332020
ProteomicsDB
T Schmidt, P Samaras, M Frejno, S Gessulat, M Barnert, H Kienegger, ...
Nucleic Acids Research, 2017
1782017
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
1782017
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
1292020
The emerging landscape of single-molecule protein sequencing technologies
JA Alfaro, P Bohländer, M Dai, M Filius, CJ Howard, XF Van Kooten, ...
Nature methods 18 (6), 604-617, 2021
1272021
Optimized chemical proteomics assay for kinase inhibitor profiling
G Médard, F Pachl, B Ruprecht, S Klaeger, S Heinzlmeir, D Helm, H Qiao, ...
Journal of proteome research 14 (3), 1574-1586, 2015
1232015
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
1212020
Meltome atlas—thermal proteome stability across the tree of life
A Jarzab, N Kurzawa, T Hopf, M Moerch, J Zecha, N Leijten, Y Bian, ...
Nature methods 17 (5), 495-503, 2020
1162020
Ion mobility tandem mass spectrometry enhances performance of bottom-up proteomics
D Helm, JPC Vissers, CJ Hughes, H Hahne, B Ruprecht, F Pachl, A Grzyb, ...
Mol Cell Proteomics, 2014
1052014
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
892018
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
782018
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
662018
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
522021
mz5: space-and time-efficient storage of mass spectrometry data sets
M Wilhelm, M Kirchner, JAJ Steen, H Steen
Molecular & Cellular Proteomics 11 (1), 2012
522012
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