Daniela Klaproth-Andrade

7 papers in the catalog · Germany

Daniela Klaproth-Andrade: 7 papers in the catalog · Germany · Technical University of Munich, Technical University of Munich · Works on Casanovo, Living proteomics benchmark, Modanovo

Affiliations

• Technical University of Munich · Computational Molecular Medicine, School of Computation, Information and Technology
• Technical University of Munich · TUM School of Computation, Information and Technology

Elsewhere

ORCID 0009-0008-4223-2199 · OpenAlex

Papers

• 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)
• 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)

Methods and tools

Casanovo, Living proteomics benchmark, Modanovo, Spectralis

Co-authors (68)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

• Julien Gagneur strength 0.70, 5 shared
• Mathias Wilhelm strength 0.70, 5 shared
• Jakob Träuble strength 0.40, 2 shared
• Johannes Hingerl strength 0.40, 2 shared
• Nicholas H. Smith strength 0.40, 2 shared
• Christian Nix strength 0.30, 3 shared
• Andreas Pichlmair strength 0.29, 2 shared
• Valter Bergant strength 0.29, 2 shared
• Wassim Gabriel strength 0.29, 2 shared
• Yanik Bruns strength 0.29, 2 shared
• Melih Yilmaz strength 0.17, 3 shared
• William E. Fondrie strength 0.17, 3 shared
• William Stafford Noble strength 0.17, 3 shared
• Wout Bittremieux strength 0.17, 3 shared
• Bo Wen strength 0.15, 2 shared
• Chris Hsu strength 0.15, 2 shared
• Gwenneth Straub strength 0.15, 2 shared
• Justin Sanders strength 0.15, 2 shared
• Lingwen Xu strength 0.15, 2 shared
• Michael J. MacCoss strength 0.15, 2 shared
• Michael Riffle strength 0.15, 2 shared
• Sewoong Oh strength 0.15, 2 shared
• Varun Ananth strength 0.15, 2 shared
• Marina Pominova strength 0.09, 2 shared
• Alfred Nilsson strength 0.02, 1 shared
• Baozhen Shan strength 0.02, 1 shared
• Benjamin A. Neely strength 0.02, 1 shared
• Bin Ma strength 0.02, 1 shared
• Ceder Dens strength 0.02, 1 shared
• Charlotte Adams strength 0.02, 1 shared
• Cheng Chang strength 0.02, 1 shared
• Cheng Ge strength 0.02, 1 shared
• Chenyu Yao strength 0.02, 1 shared
• Di Zhang strength 0.02, 1 shared
• Ekapol Chuangsuwanich strength 0.02, 1 shared
• Guillaume Deflandre strength 0.02, 1 shared
• Haipeng Wang strength 0.02, 1 shared
• Haixu Tang strength 0.02, 1 shared
• Jeroen Van Goey strength 0.02, 1 shared
• Jingbo Zhou strength 0.02, 1 shared

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