Technical University of Munich
Freising, Germany, Munich, Germany, Garching, Germany · 24 authors
Technical University of Munich (Freising, Germany, Munich, Germany, Garching, Germany): 24 authors and 15 papers in the de novo peptide sequencing catalog.
Departments
- Chair of Proteomics and Bioanalytics
- Computational Mass Spectrometry, School of Life Sciences
- Computational Mass Spectrometry, TUM School of Life Sciences
- Computational Molecular Medicine, School of Computation, Information and Technology
- Department of Informatics
- Institute of Human Genetics, School of Medicine
- Institute of Human Genetics, School of Medicine and Health
- Institute of Virology, School of Medicine
- Munich Data Science Institute
- TUM School of Computation, Information and Technology
- TUM School of Life Sciences
Papers (15)
- PepPr: De Novo peptide sequencing with peptide priors (2026, bioRxiv)
- dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra (2026, arXiv)
- Beyond Best Guesses: A Multi-Level Confidence Assessment Framework for De Novo Peptide Sequencing Results (2026, HUPO 2026 World Congress)
- A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
- Improvements to Casanovo, a Deep Learning De Novo Peptide Sequencer (2025, Journal of Proteome Research)
- Modanovo: A Unified Model for Post-translational Modification-Aware De Novo Sequencing Using Experimental Spectra From In Vivo and Synthetic Peptides (2025, Molecular & Cellular Proteomics)
- Modanovo: A Unified Model for Post-Translational Modification-Aware de Novo Sequencing Using Experimental Spectra from In Vivo and Synthetic Peptides (2025, bioRxiv)
- Improvements to CasaNovo, a deep learning de novo peptide sequencer (2025, bioRxiv)
- Ultra-sensitive metaproteomics redefines the dark metaproteome, uncovering host-microbiome interactions and drug targets in intestinal diseases (2025, Nature Communications)
- Pairwise Attention: Leveraging Mass Differences to Enhance De Novo Sequencing of Mass Spectra (2025, Journal of Proteome Research)
- Pairwise Attention: Leveraging Mass Differences to Enhance De Novo Sequencing of Mass Spectra (2025, bioRxiv)
- Ultra-sensitivity metaproteomics redefines the gut “dark metaproteome”, uncovering host-microbiome interactions and drug targets in intestinal inflammatory diseases (2024, bioRxiv)
- Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing (2024, Nature Communications)
- Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing (2023, bioRxiv)
- Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning (2019, Nature Methods)