Liang Qiao

Mainly engaged in basic and applied research in proteomics, microbial mass spectrometry analysis, microfluidic-mass spectrometry coupling, and mass spectrometry bioinformatics. Has undertaken and participated in 21 national and provincial-level projects, including the National Key R&D Program, National Natural Science Foundation Key Projects, General Programs, and Shanghai Science and Technology Commission Key Innovation Projects. To date, has published 160 papers in authoritative journals such as Nature Machine Intelligence, PNAS, Nature Communications, Chem, JACS, Angew. Chem. Int. Ed., and Anal. Chem.; has applied for and obtained 21 international and domestic invention patents. Main research directions include: 1. Development of mass spectrometry and proteomics data analysis algorithms: (1) Mass spectrometry-based bacterial identification algorithms; (2) Deep learning-based proteomics data analysis algorithms. 2. Microbial metaproteomics. 3. Multi-omics-based research on bacterial drug resistance mechanisms.

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