Zero-shot de novo peptide sequencing with open posttranslational modification discovery
peer-reviewed · Nature Biotechnology · 2026
peer-reviewed · Nature Biotechnology · 2026. Zeping Mao et al.
| Date | 2026-05-19 |
| Type | peer-reviewed |
| Venue | Nature Biotechnology |
| Publisher | Springer Nature |
| Contribution | algorithm |
| DOI | 10.1038/s41587-026-03116-1 |
| Citations (OpenAlex) | 0 |
| Venue 2-year citedness | 11.97 |
Preprint version: Zero-Shot De Novo Peptide Sequencing with Open Post-Translational Modification Discovery (2025-06-27, Research Square)
Methods and tools
- RNovA: Zero-shot open PTM discovery
Cites (10)
- InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments (2025) crossref
- π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2025) crossref
- NovoBoard: A Comprehensive Framework for Evaluating the False Discovery Rate and Accuracy of De Novo Peptide Sequencing (2024) crossref
- Accounting for Digestion Enzyme Bias in Casanovo (2024) crossref
- Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model (2023) crossref
- Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices (2021) crossref
- Deep Learning in Proteomics (2020) crossref
- De novo peptide sequencing by deep learning (2017) crossref
- Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification? (2017) crossref
- PEAKS DB: De Novo Sequencing Assisted Database Search for Sensitive and Accurate Peptide Identification (2012) crossref