Nature Communications
9 papers in the catalog
9 de novo peptide sequencing papers published in Nature Communications, catalogued with authors, methods and citation counts.
| 2-year mean citedness | 15.88 |
| h-index | 740 |
| Works indexed | 89965 |
From OpenAlex. The 2-year mean citedness is computed the same way as the Journal Impact Factor, but over the open citation graph.
Papers
- InstaNovo-P: a de novo peptide sequencing model for phosphoproteomics (2026, peer-reviewed)
- XA-Novo: an accurate and high-throughput mass spectrometry-based de novo sequencing technology for monoclonal antibodies and antibody mixtures (2026, peer-reviewed)
- π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2025, peer-reviewed)
- De novo protein sequencing of antibodies for identification of neutralizing antibodies in human plasma post SARS-CoV-2 vaccination (2024, peer-reviewed)
- Sequence-to-sequence translation from mass spectra to peptides with a transformer model (2024, peer-reviewed)
- MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer (2024, peer-reviewed)
- Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing (2024, peer-reviewed)
- Accurate de novo peptide sequencing using fully convolutional neural networks (2023, peer-reviewed)
- Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics (2023, peer-reviewed)