Peking University
Beijing, China · 19 authors
Peking University (Beijing, China): 19 authors and 10 papers in the de novo peptide sequencing catalog.
Departments
- AI for Science Institute, Center for Machine Learning Research, School of Mathematical Sciences
- Center for Machine Learning Research
- Computer Center
- School of Mathematical Sciences
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences
Papers (10)
- Ancient proteins identify various Denisovan remains from Southwest China (2026, Nature)
- Mass Spectrometry-Based De Novo Sequencing of N-Glycosylated Light Chains: Linking Urinary Proteoforms to In Situ Renal Amyloid Deposits (2026, Molecular & Cellular Proteomics)
- AI proteomics: from protein identification to virtual cells (2026, Nature Methods)
- A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data (2026, Nature Machine Intelligence)
- Precise Discovery of Novel N-Terminal Proteoforms beyond the Limitations of Proteogenomics and De Novo Sequencing (2025, Analytical Chemistry)
- pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation (2025, arXiv)
- Immunoglobulin repertoire sequencing and de novo sequencing – Powerful tools for identifying free light chains from patients with light chain cast nephropathy (2024, International Immunopharmacology)
- Novel Proteoform Discovery by Precise Semi-De Novo Sequencing of Novel Junction Peptides (2023, Analytical Chemistry)
- BiATNovo: A Self-Attention based Bidirectional Peptide Sequencing Method (2023, bioRxiv)
- High-Confidence de Novo Peptide Sequencing Using Positive Charge Derivatization and Tandem MS Spectra Merging (2013, Analytical Chemistry)