Chinese Academy of Sciences
China, Shanghai, Guangzhou, China, Beijing, China · 109 authors
Chinese Academy of Sciences (China, Shanghai, Guangzhou, China, Beijing, China): 109 authors and 32 papers in the de novo peptide sequencing catalog.
Departments
- Analytical Research Center for Organic and Biological Molecules, State Key Laboratory of Drug Research, Carbohydrate-Based Drug Research Center, Shanghai Institute of Materia Medica
- Guangzhou Institutes of Biomedicine and Health
- Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology
- State Key Laboratory of Mathematical Science, Academy of Mathematics and Systems Science
Papers (32)
- Ancient proteins identify various Denisovan remains from Southwest China (2026, Nature)
- 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)
- Enamel proteins from six Homo erectus specimens across China (2026, Nature)
- A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data (2026, Nature Machine Intelligence)
- A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
- DiNovo enables high-coverage and high-confidence de novo peptide sequencing via mirror proteases and deep learning (2026, Nature Communications)
- The proteome of the late Middle Pleistocene Harbin individual (2025, Science)
- pUniFind: a unified large pre-trained deep learning model pushing the limit of mass spectra interpretation (2025, arXiv)
- DiNovo: high-coverage, high-confidence de novo peptide sequencing using mirror proteases and deep learning (2025, bioRxiv)
- PepGo: a deep learning and tree search-based model for de novo peptide sequencing (2025, bioRxiv)
- Decoding Protein Glycosylation by an Integrative Mass Spectrometry-Based De Novo Sequencing Strategy (2025, JACS Au)
- A complete mass spectrometry-based immunopeptidomics pipeline for neoantigen identification and validation (2023, Research Square)
- Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics (2023, Journal of Pharmaceutical Analysis)
- Denovo-GCN: De Novo Peptide Sequencing by Graph Convolutional Neural Networks (2023, Applied Sciences (MDPI))
- Accurate discrimination of leucine and isoleucine residues by combining continuous digestion with multiple MS3 spectra integration in protein sequence (2022, Talanta)
- Discovering and Validating Neoantigens by Mass Spectrometry-based Immunopeptidomics and Deep Learning (2022, bioRxiv)
- Highly Robust de Novo Full-Length Protein Sequencing (2021, Analytical Chemistry)
- Full-length Protein Sequencing Based on Continuous Digestion Using Non-specific Proteases (2021, Acta Chimica Sinica)
- Deep Learning in Proteomics (2020, Proteomics)
- pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework (2019, Bioinformatics)
- Precision De Novo Peptide Sequencing Using Mirror Proteases of Ac-LysargiNase and Trypsin for Large-scale Proteomics (2019, Molecular & Cellular Proteomics)
- pSite: Amino Acid Confidence Evaluation for Quality Control of De Novo Peptide Sequencing and Modification Site Localization (2017, Journal of Proteome Research)
- NIPTL-Novo: Non-isobaric peptide termini labeling assisted peptide de novo sequencing (2017, Journal of Proteomics)
- Open-pNovo: De Novo Peptide Sequencing with Thousands of Protein Modifications (2017, Journal of Proteome Research)
- Identification of phosphopeptides with unknown cleavage specificity by a de novo sequencing assisted database search strategy (2014, PROTEOMICS)
- De novo identification and quantification of single amino-acid variants in human brain (2014, Journal of Molecular Cell Biology)
- pNovo+: De Novo Peptide Sequencing Using Complementary HCD and ETD Tandem Mass Spectra (2013, Journal of Proteome Research)
- ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity (2011, BMC Bioinformatics)
- pNovo: De novo Peptide Sequencing and Identification Using HCD Spectra (2010, Journal of Proteome Research)
- Exploring membrane and cytoplasm proteomic responses of Alkalimonas amylolytica N10 to different external pHs with combination strategy of de novo peptide sequencing (2009, PROTEOMICS)
- A proteomic‐based approach for the characterization of some major structural proteins involved in host–parasite relationships from the silkworm parasite Nosema bombycis (Microsporidia) (2007, PROTEOMICS)