pUniFind
algorithm · Transformer (AR)
pUniFind: algorithm · Transformer (AR). 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…
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.
| Kind | algorithm |
| Deep learning | yes |
| Acquisition | DDA |
| Family | Transformer (AR) |
Code
Live stars, open issues and last-push figures are on the Code activity chart.
Data
What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.
Trained on
- A draft map of the human proteome (as deposited) · 2026 peer-reviewed
- A mass-tolerant database search identifies a large proportion of unassigned spectra in shotgun proteomics as modified pe (as deposited) · 2026 peer-reviewed
- Cell-type and brain-region resolved mouse brain proteome (as deposited) · 2026 peer-reviewed
- Class II Immunopeptidome of 9033 cells (as deposited) · 2026 peer-reviewed
- Confetti: A Multi-protease Map of the HeLa Proteome for Comprehensive Proteomics (as deposited) · 2026 peer-reviewed
- HLA-DQ8 Immunopeptidomics, Type 1 Diabetes (as deposited) · 2026 peer-reviewed
- HeLa proteome of 12,250 protein-coding genes (as deposited) · 2026 peer-reviewed
- Human Testis LC-MS/MS - Multi-Protease Strategy Identifies Three PE2 Missing Proteins in Human Testis Tissue (as deposited) · 2026 peer-reviewed
- Human testis off-line LC-MS/MS (PXD009737) (as deposited) · 2026 peer-reviewed
- Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes (as deposited) · 2026 peer-reviewed
- Mass spectrometry based draft of the human proteome (as deposited) · 2026 peer-reviewed
- MaxQuant software for ion mobility enhanced shotgun proteomics (as deposited) · 2026 peer-reviewed
- Minimalistic sample processing (as deposited) · 2026 peer-reviewed
- Modulating the selectivity of affinity absorbents to multi-phosphopeptides by a novel competitive substitution strategy (as deposited) · 2026 peer-reviewed
- Multi-omics profiling of human pancreatic islet dysregulation from normoglycemia to type 2 diabetes (as deposited) · 2026 peer-reviewed
- Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics (as deposited) · 2026 peer-reviewed
- Online parallel accumulation – serial fragmentation (PASEF) with a novel trapped ion mobility mass spectrometer (as deposited) · 2026 peer-reviewed
- ProteomeTools (Parts I-III) · 2026 peer-reviewed
- Reproducibility of label-free single-shot phosphoproteomics applied to CRC cell lines (as deposited) · 2026 peer-reviewed
- Synthetic (Phospho)Peptide Library (as deposited) · 2026 peer-reviewed
- The HLA-Ligand-Atlas. A resource of natural HLA ligands presented on benign tissues (as deposited) · 2026 peer-reviewed
- The Proteome Landscape of the Kingdoms of Life (as deposited) · 2026 peer-reviewed
- The immunopeptidomic landscape of ovarian carcinoma (as deposited) · 2026 peer-reviewed
- hnRNPR interactome in axons and soma of murine motoneurons (as deposited) · 2026 peer-reviewed
Evaluated on
- HLA-I peptidomics od Meningioma tissues - Peptide length distribution and multiple specificity in naturally presented HL (as deposited) · 2026 peer-reviewed
- IPX000540500038 (as deposited) · 2026 peer-reviewed
- Nine-species benchmark (version not stated) · 2025 preprint, 2026 peer-reviewed
- Open-pFind enables precise, comprehensive and rapid peptide identification in shotgun proteomics, part 1 (as deposited) · 2025 preprint
- ProteomeTools (21-PTM subset) · 2025 preprint, 2026 peer-reviewed
Papers describing it (2)
- pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation (2025, arXiv, preprint)
- A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data (2026, Nature Machine Intelligence, peer-reviewed)