Wen-Feng Zeng

8 papers in the catalog · China, Shanghai, Hangzhou

Wen-Feng Zeng: 8 papers in the catalog · China, Shanghai, Hangzhou · Chinese Academy of Sciences, University of Chinese Academy of Sciences · Works on Deep Learning in Proteomics, FastaLake, FoxNovo

Affiliations

Chinese Academy of Sciences · Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology
University of Chinese Academy of Sciences
Westlake University · AI Department, School of Engineering
Westlake University · Center for Infectious Disease Research, School of Medicine

Elsewhere

ORCID 0000-0003-4325-2147 · OpenAlex

Papers

FastaLake selects compact metaproteomic databases from large sequence reservoirs by de novo peptide lookup (2026, bioRxiv)
Accurate and ultra-fast de novo HLA-I immunopeptide sequencing with FoxNovo (2026, LangTaoSha (LTS) Preprint)
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)
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)

Methods and tools

Deep Learning in Proteomics, FastaLake, FoxNovo, Open-pNovo, pNovo 3, pNovo+, pNovoM, pSite

Co-authors (62)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

Hao Chi strength 0.68, 5 shared
Si-Min He strength 0.68, 5 shared
Hao Yang strength 0.58, 4 shared
Wen-Jing Zhou strength 0.50, 3 shared
Chao Liu strength 0.25, 2 shared
Chang-Rong You strength 0.25, 1 shared
Ching Tarn strength 0.25, 1 shared
Xie-Xuan Zhou strength 0.25, 1 shared
Ze-Xuan Chen strength 0.25, 1 shared
Kun He strength 0.24, 2 shared
Rui-Xiang Sun strength 0.24, 2 shared
Bing Zhang strength 0.17, 1 shared
Bo Wen strength 0.17, 1 shared
Sara R. Savage strength 0.17, 1 shared
Wen Jiang strength 0.17, 1 shared
Yuxing Liao strength 0.17, 1 shared
Zhiao Shi strength 0.17, 1 shared
Rui-Min Wang strength 0.11, 1 shared
Xiu-Nan Niu strength 0.11, 1 shared
Zhao-Wei Wang strength 0.11, 1 shared
Zhen-Lin Chen strength 0.11, 1 shared
Bing Yang strength 0.10, 1 shared
Chun-Qing Song strength 0.10, 1 shared
Haifeng Chen strength 0.10, 1 shared
Jianyun Liu strength 0.10, 1 shared
Long Wu strength 0.10, 1 shared
Meng-Qiu Dong strength 0.10, 1 shared
Christopher M. Overall strength 0.07, 1 shared
Fei-Lin Wu strength 0.07, 1 shared
Feng Xu strength 0.07, 1 shared
Fu-Qiang Wang strength 0.07, 1 shared
Jun-Ling Zhang strength 0.07, 1 shared
Ming-Zhi Zhao strength 0.07, 1 shared
Ping Xu strength 0.07, 1 shared
Wei-Di Xiao strength 0.07, 1 shared
Xi Wang strength 0.07, 1 shared
Yanchang Li strength 0.07, 1 shared
Yi-Hao Wang strength 0.07, 1 shared
Ankit Sinha strength 0.04, 1 shared
Christophe Junot strength 0.04, 1 shared

Seen in the charts

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