Indiana University
Bloomington, USA · 4 authors
Indiana University (Bloomington, USA): 4 authors and 15 papers in the de novo peptide sequencing catalog.
Departments
- Computer Science
Papers (15)
- AI proteomics: from protein identification to virtual cells (2026, Nature Methods)
- CasanovoGUI: a cross-platform desktop application for deep learning-based de novo peptide sequencing with Casanovo (2026, bioRxiv)
- 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)
- Improvements to CasaNovo, a deep learning de novo peptide sequencer (2025, bioRxiv)
- Foundation model for mass spectrometry proteomics (2025, arXiv)
- Deep Learning Methods for De Novo Peptide Sequencing (2024, Mass Spectrometry Reviews)
- Accounting for Digestion Enzyme Bias in Casanovo (2024, Journal of Proteome Research)
- Sequence-to-sequence translation from mass spectra to peptides with a transformer model (2024, Nature Communications)
- Accurate de novo peptide sequencing using fully convolutional neural networks (2023, Nature Communications)
- Sequence-to-sequence translation from mass spectra to peptides with a transformer model (2023, bioRxiv)
- De novo mass spectrometry peptide sequencing with a transformer model (2022, ICML 2022)
- PepNet: A Fully Convolutional Neural Network for De novo Peptide Sequencing (2022, Research Square)
- De novo mass spectrometry peptide sequencing with a transformer model (2022, bioRxiv)
- Shotgun Protein Sequencing by Tandem Mass Spectra Assembly (2004, Analytical Chemistry)