A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data
peer-reviewed · Nature Machine Intelligence · 2026
peer-reviewed · Nature Machine Intelligence · 2026. Jiale Zhao et al.
| Date | 2026-05-25 |
| Type | peer-reviewed |
| Venue | Nature Machine Intelligence |
| Publisher | Springer Nature |
| Contribution | algorithm |
| DOI | 10.1038/s42256-026-01234-8 |
| Citations (OpenAlex) | 1 |
| Venue 2-year citedness | 19.94 |
Preprint version: pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation (2025-06-30, arXiv)
Methods and tools
- pUniFind: Multimodal pre-trained transformer for mass spectra that unifies peptide-spectrum scoring and zero-shot de novo sequencing in a single model. Trained on >100M open-search-derived spectra; reports +60% PSMs over prior de novo methods with 1,300+ modifications supported, and a DL-based QC step that recovers 38.5% additional peptides.
Cites (13)
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