Westlake University
Hangzhou, China · 36 authors
Westlake University (Hangzhou, China): 36 authors and 22 papers in the de novo peptide sequencing catalog.
Departments
- AI Department, School of Engineering
- AI Lab
- Affiliated Hangzhou First People’s Hospital, School of Medicine
- Center for Infectious Disease Research, School of Medicine
- Department of Materials Science and Engineering
- Research Center for Industries of the Future, School of Life Sciences
- School of Engineering
- School of Medicine
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine
- Westlake University High-Performance Computing Center
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, School of Life Sciences
Papers (22)
- Accurate and ultra-fast de novo HLA-I immunopeptide sequencing with FoxNovo (2026, LangTaoSha (LTS) Preprint)
- AI proteomics: from protein identification to virtual cells (2026, Nature Methods)
- MemNovo: Look Back at the Spectrum for Balanced De Novo Peptide Sequencing from Mass Spectrometry (2026, arXiv)
- Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control (2026, AAAI 2026)
- A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
- Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control (2026, arXiv)
- Accurate de novo sequencing of the modified proteome with OmniNovo (2025, arXiv)
- A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing (2025, IJCAI 2025)
- MassNet: billion-scale AI-friendly mass spectral corpus enables robust de novo peptide sequencing (2025, bioRxiv)
- Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo (2025, ICLR 2025)
- ReNovo: Retrieval-Based De Novo Mass Spectrometry Peptide Sequencing (2024, ICLR 2025)
- BiATNovo: An Attention-based Bidirectional De Novo Sequencing Framework for Data-Independent-Acquisition Mass Spectrometry (2024, bioRxiv)
- Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo (2024, bioRxiv)
- NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics (2024, NeurIPS 2024)
- Awesome-Denovo-Peptide-Sequencing (2024, GitHub)
- AdaNovo: Adaptive De Novo Peptide Sequencing with Conditional Mutual Information (2024, ICML 2024)
- BiATNovo: A Self-Attention based Bidirectional Peptide Sequencing Method (2023, bioRxiv)
- Deep Learning in Proteomics (2020, Proteomics)
- pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework (2019, Bioinformatics)
- 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)