Beihang University
Beijing, China · 11 authors
Beihang University (Beijing, China): 11 authors and 8 papers in the de novo peptide sequencing catalog.
Departments
- Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media
- School of Biological Science and Medical Engineering & School of Engineering Medicine
- School of Computer Science and Engineering
- Sino-German Joint Software Institute (JSI)
- State Key Laboratory of Virtual Reality Technology and Systems
Papers (8)
- AI proteomics: from protein identification to virtual cells (2026, Nature Methods)
- A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
- BiATNovo: An Attention-based Bidirectional De Novo Sequencing Framework for Data-Independent-Acquisition Mass Spectrometry (2024, bioRxiv)
- BiATNovo: A Self-Attention based Bidirectional Peptide Sequencing Method (2023, bioRxiv)
- pSite: Amino Acid Confidence Evaluation for Quality Control of De Novo Peptide Sequencing and Modification Site Localization (2017, Journal of Proteome Research)
- Open-pNovo: De Novo Peptide Sequencing with Thousands of Protein Modifications (2017, Journal of Proteome Research)
- pNovo+: De Novo Peptide Sequencing Using Complementary HCD and ETD Tandem Mass Spectra (2013, Journal of Proteome Research)
- pNovo: De novo Peptide Sequencing and Identification Using HCD Spectra (2010, Journal of Proteome Research)