about
mz5: space- and time-efficient storage of mass spectrometry data setsMass-spectrometry-based draft of the human proteomeA Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasetsA classifier based on accurate mass measurements to aid large scale, unbiased glycoproteomicsChemoproteomics-Aided Medicinal Chemistry for the Discovery of EPHA2 Inhibitors.Chemical Proteomics and Structural Biology Define EPHA2 Inhibition by Clinical Kinase Drugs.Building ProteomeTools based on a complete synthetic human proteome.Global proteome analysis of the NCI-60 cell line panel.Phosphoproteome Profiling Reveals Molecular Mechanisms of Growth-Factor-Mediated Kinase Inhibitor Resistance in EGFR-Overexpressing Cancer Cells.BiPACE 2D--graph-based multiple alignment for comprehensive 2D gas chromatography-mass spectrometry.Semi-supervised Learning Predicts Approximately One Third of the Alternative Splicing Isoforms as Functional Proteins.Ion mobility tandem mass spectrometry enhances performance of bottom-up proteomics.Trimodal Mixed Mode Chromatography That Enables Efficient Offline Two-Dimensional Peptide Fractionation for Proteome Analysis.ProteomicsDB.Pharmacoproteomic characterisation of human colon and rectal cancer.The target landscape of clinical kinase drugs.PROCAL: A Set of 40 Peptide Standards for Retention Time Indexing, Column Performance Monitoring, and Collision Energy Calibration.Peptide level turnover measurements enable the study of proteoform dynamics.Mining the human tissue proteome for protein citrullination.Optimized chemical proteomics assay for kinase inhibitor profiling.Expanding the Use of Spectral Libraries in ProteomicsEthylene glycol improves electrospray ionization efficiency in bottom-up proteomicsChemoproteomic Selectivity Profiling of PIKK and PI3K Kinase InhibitorsA deep proteome and transcriptome abundance atlas of 29 healthy human tissuesCiRCus: A Framework to Enable Classification of Complex High-Throughput ExperimentsChallenges in Clinical Metaproteomics Highlighted by the Analysis of Acute Leukemia Patients with Gut Colonization by Multidrug-Resistant EnterobacteriaceaeA deep proteome and transcriptome abundance atlas of 29 healthy human tissuesProteomeTools: Systematic Characterization of 21 Post-translational Protein Modifications by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) Using Synthetic PeptidesWilhelm et al. replyMass-spectrometry-based draft of the Arabidopsis proteomeGenerating high quality libraries for DIA MS with empirically corrected peptide predictionsProteomicsDB: a multi-omics and multi-organism resource for life science researchPROTEOFORMER 2.0: Further Developments in the Ribosome Profiling-assisted Proteogenomic Hunt for New ProteoformsMeltome atlas-thermal proteome stability across the tree of lifeProsit: proteome-wide prediction of peptide tandem mass spectra by deep learning
P50
Q28732283-43ED2B40-D095-40C4-9B94-75BA186EAAFEQ29617249-47F8D4D0-53D6-4ED8-98AF-0D57C3485077Q30953835-D65743F3-8962-4F13-BECF-31987B2E4478Q34392856-34CF7F05-D823-441C-8E76-A81C6B54344BQ36742387-3D253C3F-906B-4FD6-BD75-DAD9FA75E26BQ38702282-5B9BA710-063A-4048-A122-D223CE176911Q38739129-942611DF-4DB7-47E3-86CE-6B49F6D5F9EFQ38991981-82F9E023-9054-45F8-8B1B-B9479E7F36AEQ39112561-00240221-B74D-4425-9738-A1F580857CD8Q39235510-6A5B3820-18D5-4DC1-85BB-839D927BA162Q39289233-1D17529A-A24E-44C2-A029-35203376961EQ40767197-24EDB873-742E-4103-8352-533D41425861Q42551486-C7A3E82D-FEFF-478D-BC46-DB8A8A79A5E9Q46160936-A323BF9E-C2AD-4BA6-96EE-E7C613000D7FQ47155812-22C63E57-70EF-47F9-936A-9ACA9F962143Q47205259-AF59174A-8726-4477-8FB3-2C0E8BFBB9FAQ47345032-1C57A99E-2F6A-4471-A786-50F8A19C8748Q47855280-D7D5331C-AF7F-426F-A5BD-97BAFCA80F9CQ50055546-550AC39E-2498-4007-A2A3-FFB3B23493ACQ52611944-5340B6F9-9151-4B5F-A4F9-C1A4AE84CE25Q54292023-2649748E-53D6-4B90-BB2C-2848C45B9BA9Q57909965-9CBE29B7-8A80-40D2-9766-102D555CF5A1Q58001189-C1EDBC7F-E01C-4D7E-89BC-D4556574283BQ63352299-044916F2-24C8-43A7-A75E-71CCCDC4A144Q63352300-C2CB379F-0A95-4743-B435-8253F24BE2A2Q63352302-DDF34B20-7E5C-4938-80EB-D434C16A76D4Q63352303-EE2504DB-AAC1-4B55-B885-1CD1286B53EFQ63352304-F8891C5F-90D0-4B4D-8923-F6968509C837Q63352305-F87D6AEB-7F9F-4485-A9BA-49A62C019012Q63352306-7391DC84-69D1-45D0-92BB-828D3182E3F6Q90438997-2410F5D7-5485-4929-977D-33AFFB7B97E8Q90664414-595E0021-D670-4B2B-AE9B-AD92512B394AQ91006885-D968E9D6-6716-4A2D-8786-8FE823AA0ED3Q91651576-8FFB33D9-CE8A-4012-9C83-AE6C5A1FFB2CQ91875178-D0123F06-CECF-4AFD-A17F-6DD88E4FB555Q92325802-A3D32350-73D0-463C-80FC-EB408268CB27
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Mathias Wilhelm
@ast
Mathias Wilhelm
@en
Mathias Wilhelm
@es
Mathias Wilhelm
@fr
Mathias Wilhelm
@nl
Mathias Wilhelm
@sl
type
label
Mathias Wilhelm
@ast
Mathias Wilhelm
@en
Mathias Wilhelm
@es
Mathias Wilhelm
@fr
Mathias Wilhelm
@nl
Mathias Wilhelm
@sl
prefLabel
Mathias Wilhelm
@ast
Mathias Wilhelm
@en
Mathias Wilhelm
@es
Mathias Wilhelm
@fr
Mathias Wilhelm
@nl
Mathias Wilhelm
@sl
P106
P21
P31
P496
0000-0002-9224-3258