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Showing 1–7 of 7 results
Advanced filters: Author: Siegfried Gessulat Clear advanced filters

  • The identification of HLA peptides by mass spectrometry is non-trivial. Here, the authors extended and used the wealth of data from the ProteomeTools project to improve the prediction of non-tryptic peptides using deep learning, and show their approach enables a variety of immunological discoveries.

    • Mathias Wilhelm
    • Daniel P. Zolg
    • Bernhard Kuster
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-12

  • CHIMERYS is a spectrum-centric and data acquisition method-agnostic algorithm for the analysis of MS2 spectra. It is capable of deconvoluting any MS2 spectrum, regardless of whether it was acquired by DDA, DIA or PRM, thus unifying the analysis of bottom-up proteomics data.

    • Martin Frejno
    • Michelle T. Berger
    • Mathias Wilhelm
    ResearchOpen Access
    Nature Methods
    Volume: 22, P: 1017-1027

  • Data-independent acquisition-mass spectrometry (MS) typically requires many preparatory MS runs to produce experiment-specific spectral libraries. Here, the authors show that empirical correction of in silico predicted spectral libraries enables efficient generation of high-quality experiment-specific libraries.

    • Brian C. Searle
    • Kristian E. Swearingen
    • Mathias Wilhelm
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10

  • A mass-spectrometry-based draft of the human proteome and a public database for analysis of proteome data are presented; assembled information is used to estimate the size of the protein-coding genome, to identify organ-specific proteins, proteins predicting drug resistance or sensitivity, and many translated long intergenic non-coding RNAs, and to reveal conserved control of protein abundance.

    • Mathias Wilhelm
    • Judith Schlegl
    • Bernhard Kuster
    Research
    Nature
    Volume: 509, P: 582-587

  • The ProteomeTools project provides the proteomics community with a physical synthetic tryptic peptide resource and a digital LC-MS/MS data resource covering all human proteins.

    • Daniel P Zolg
    • Mathias Wilhelm
    • Bernhard Kuster
    Research
    Nature Methods
    Volume: 14, P: 259-262