Chen Li

Personal profile

Biography

Dr Chen Li completed his PhD with A/Prof Ashley Buckle and A/Prof Jiangning Song at the Department of Biochemistry and Molecular Biology and Monash Biomedicine Discovery Institute, Monash University in 2016, where he focused on developing bioinformatic algorithms and databases for analysing the relationship between protein structure, function and disease. After completing his PhD study, Chen moved to the laboratories of Prof Anthony Purcell and Prof Jian Li at the Monash Biomedicine Discovery Institute as a research bioinformatician, and have since extended his research into proteomics and immunopeptidomics.

Chen is now working in the Purcell Lab at Monash University as a CJ Martin Early Career Research Fellow supported by the Australian National Health and Medical Research Council (NHMRC). His research focuses on integrating proteomics and immunopeptidomics to understand prostate cancer carcinogenesis, diagnosis and treatment.

Research interests

Systems Proteomics; Immunopeptidomics; Cancer; Personalised Medicine; Bioinformatics

Education/Academic qualification

Bioinformatics, PhD, MONASH UNIVERSITY

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Projects

1 Finished

Investigation and prediction of colorectal cancer neoepitopes and their immunological responses

Li, C.

1/03/17 → 29/12/17

Project: Research

Research Output

30 Article
3 Conference Paper
1 Review Article

Pan-transcriptomic analysis identified common differentially expressed genes of Acinetobacter baumannii in response to polymyxin treatments

Li, M., Aye, S. M., Ahmed, M. U., Han, M-L., Li, C., Song, J., Boyce, J. D., Powell, D. R., Azad, M. A. K., Velkov, T., Zhu, Y. & Li, J., 1 Aug 2020, In : Molecular Omics. 16, 4, p. 327-338 12 p.

Research output: Contribution to journal › Article › Research › peer-review

Regulating polymyxin resistance in Gram-negative bacteria: roles of two-component systems PhoPQ and PmrAB

Huang, J., Li, C., Song, J., Velkov, T., Wang, L., Zhu, Y. & Li, J., 6 Apr 2020, In : Future Microbiology. 15, 6, p. 445-459 15 p.

Research output: Contribution to journal › Review Article › Research › peer-review

2 Citations (Scopus)

A new class of protein biomarkers based on subcellular distribution: application to a mouse liver cancer model

Sajic, T., Ciuffa, R., Lemos, V., Xu, P., Leone, V., Li, C., Williams, E. G., Makris, G., Banaei-Esfahani, A., Heikenwalder, M., Schoonjans, K. & Aebersold, R., 6 May 2019, In : Scientific Reports. 9, 1, 20 p., 6913.

Research output: Contribution to journal › Article › Research › peer-review

Open Access

File

3 Citations (Scopus)

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites

Chen, Z., Liu, X., Li, F., Li, C., Marquez-Lago, T., Leier, A., Akutsu, T., Webb, G. I., Xu, D., Smith, A. I., Li, L., Chou, K. C. & Song, J., Nov 2019, In : Briefings in Bioinformatics. 20, 6, p. 2267-2290 24 p., bby089.

Research output: Contribution to journal › Article › Research › peer-review