乔亮

委员 Member

主要从事蛋白质组学、微生物质谱分析、微流控质谱联用、质谱生物信息学等方面的基础和应用研究。先后承担和参与国家及省部级项目,如国家重点研发计划、国家自然科学基金重点项目、面上项目、上海市科委科技创新重点专项等21项。迄今在Nature Machine Intelligence、PNAS、Nature Communications、Chem、JACS、Angew. Chem. Int. Ed.、Anal. Chem.等权威期刊上发表论文160篇;申报及获得国际、国内发明专利21项。主要研究方向包括:1. 质谱和蛋白质组数据分析算法开发:(1) 基于质谱的细菌鉴定算法;(2) 基于深度学习的蛋白质组数据分析算法。2. 微生物宏蛋白质组。3. 基于多组学的细菌耐药机制研究。

1. Y. Zong, Y. Wang, X. Qiu, X. Huang, L. Qiao*, Deep Learning Prediction of Glycopeptide Tandem Mass Spectra Powers Glycoproteomics, Nature Machine Intelligence, 2024, DOI: 10.1038/s42256-024-00875-x
2. Y. Zong, Y. Wang, Y. Yang, D. Zhao, X. Wang, C. Shen, L. Qiao*, DeepFLR Facilitates False Localization Rate Control in Phosphoproteomics, Nature Communications, 2023, 14, 2269
3. Y. Yang#, G. Yan, S. Kong, M. Wu, P. Yang, W. Cao#,*, L. Qiao*, GproDIA enables data-independent acquisition glycoproteomics with comprehensive statistical control, Nature Communications, 12(2021): 6073
4. Y. Yang, X. Liu, C. Shen, Y. Lin, P. Yang, L. Qiao*, In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics, Nature Communications, 11(2020): 146
5. E. Wu#, V. Mallawaarachchi#, J. Zhao, Y. Yang, H. Liu, X. Wang, C. Shen, Y. Lin, L. Qiao*, Contigs directed gene annotation (ConDiGA) for accurate protein sequence database construction in metaproteomics, Microbiome, 2024, 12: 58