杨奕 科创青年人才
博士，研究员,科创青年人才
职务：求是科创学者/分子智造所 PI
研究方向：计算质谱与人工智能；蛋白质组学信息学；糖组学信息学
邮箱:y_yi@zju.edu.cn
地址：杭州市萧山区平澜路2118号浙江大学杭州国际科创中心
个人简介：
杨奕博士，浙江大学杭州国际科创中心求是科创学者。主要研究方向为质谱分析、组学生物信息学分析方法开发及应用研究，特别是人工智能与质谱交叉研究。主持国家自然科学基金项目2项、浙江省自然科学基金项目1项，在Nature Communications、Advanced Science、Analytical Chemistry等权威期刊上发表论文30余篇。获中国生物化学与分子生物学会糖复合物专业分会糖复合物研究优秀论文奖、中国蛋白质组学大会（CNHUPO）“明日之星”奖。担任Applied Biochemistry and Biotechnology期刊副主编等学术兼职。
主要科研项目：
1.国家自然科学基金委员会, 重大研究计划, 2025-01至2027-12, 主持
2.国家自然科学基金委员会, 青年科学基金项目, 2024-01至2026-12, 主持
3.浙江省自然科学基金委员会, 探索青年项目, 2024-01至2026-12, 主持
4.国家重点研发计划, 青年科学家项目, 2024-12至2029-11, 项目骨干(3/16)
代表性论文：
1.Wang J#, Huang Y#, Lu F, Xu Q, Yang Z, Jiang Y, Shi S, Pan J, Yang Y*, Fang Q*. Benchmarking informatics workflows for data-independent acquisition single-cell proteomics. Nature Communications, 2025, 16: 10276. DOI:10.1038/s41467-025-65174-4.
2.Yang Y*, Fang Q*. Prediction of glycopeptide fragment mass spectra by deep learning. Nature Communications, 2024, 15: 2448. DOI:10.1038/s41467-024-46771-1.
3.Yang Y#, Yan G, Wu M, Yang P, Cao W#*, Qiao L*. GproDIA enables data-independent acquisition glycoproteomics with comprehensive statistical control. Nature Communications, 2021, 12: 6073. DOI:10.1038/s41467-021-26246-3.
4.Yang Y#, Liu X#, Shen C, Lin Y, Yang P, Qiao L*. In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics. Nature Communications, 2020, 11: 146. DOI:10.1038/s41467-019-13866-z.
5.Yang Y#, Zhao D#, Luo J#, Lin L, Lin Y, Shan B*, Chen H*, Qiao L*. Quantitative site-specific glycoproteomics reveals glyco-signatures for breast cancer diagnosis. Analytical Chemistry, 2025, 97(1): 114–121. DOI:10.1021/acs.analchem.4c03069.
其他主要论文：
1.Xu Q-Q#, Jiang Y-R#, Chen J-B, Wu J, Chen Y-X, Fan Q-X, Wang H-F, Yang Y*, Pan J-Z*, Fang Q*. Single cell‐pair proteomics for decoding immune cancer cell interactions. Advanced Science, 2025, 12(11): 2414769. DOI:10.1002/advs.202414769.
2.Fan Q-X, Jiang Y-R, Chen J-B, Chen Y-X, Xu Q-Q, Wu J, Wang H, Yang Y*, Pan J-Z*, Fang Q*. Integrated single-cell proteomic and morphometric analysis reveals heterogeneous drug-resistant subpopulations. Analytical Chemistry, 2025, 97(28): 15028–15037. DOI:10.1021/acs.analchem.5c00809.
3.范智瑞, 方群*, 杨奕*. 基于质谱的单细胞蛋白质组学分析. 高等学校化学学报, 2024, 45(11): 61–76. DOI:10.7503/cjcu20240294.
4.Yang Y, Horvatovich P*, Qiao L*. Fragment mass spectrum prediction facilitates site localization of phosphorylation. Journal of Proteome Research, 2020, 20(1): 634–644. DOI:10.1021/acs.jproteome.0c00580.
5.Yang Y, Qiao L*. Data‐independent acquisition proteomics methods for analyzing post‐translational modifications. Proteomics, 2023, 23(7–8): e2200046. DOI:10.1080/14789450.2021.2020654.
6.Yang Y, Lin L*, Qiao L*. Deep learning approaches for data-independent acquisition proteomics. Expert Review of Proteomics, 2021, 18(12): 1031–1043. DOI:10.1080/14789450.2021.2020654.
7.Yang Y, Lin Y*, Qiao L*. Direct MALDI-TOF MS identification of bacterial mixtures. Analytical Chemistry, 2018, 90(17): 10400–10408. DOI:10.1021/acs.analchem.8b02258.
8.Yang Y, Lin Y*, Chen Z, Gong T, Yang P, Girault H H, Liu B, Qiao L*. Bacterial whole cell typing by mass spectra pattern matching with bootstrapping assessment. Analytical Chemistry, 2017, 89(22): 12556–12561. DOI:10.1021/acs.analchem.7b03820.
9.Zhao J#, Yang Y#, Xu H#, Zheng J, Shen C, Chen T, Wang T, Wang B, Yi J, Zhao D, Wu E, Qin Q*, Xia L*, Qiao L*. Data-independent acquisition boosts quantitative metaproteomics for deep characterization of gut microbiota. npj Biofilms and Microbiomes, 2023, 9: 4. DOI:10.1038/s41522-023-00373-9.
10.Long S#, Yang Y#, Shen C, Wang Y, Deng A, Qin Q*, Qiao L*. Metaproteomics characterizes human gut microbiome function in colorectal cancer. npj Biofilms and Microbiomes, 2020, 6: 14. DOI:10.1038/s41522-020-0123-4.
专著章节：
1.Yang Y*. MALDI-TOF mass fingerprinting for rapid identification of bacteria: data analysis and algorithm development // Detection and Analysis of Microorganisms by Mass Spectrometry. Cambridge: Royal Society of Chemistry, 2023. DOI:10.1039/BK9781837670338-00045.
2.Yang Y, Qiao L*. Profiling serum intact N-glycopeptides using data-independent acquisition mass spectrometry // Methods in Molecular Biology, vol 2628. New York: Humana, 2023. DOI:10.1007/978-1-0716-2978-9_24.
学术主页：
ORCID: https://orcid.org/0000-0002-1330-9985
Web of Science: https://www.webofscience.com/wos/author/record/HGD-2656-2022
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57197807643
