Curriculum Vitae of Dr. Rong Liu
Associate Professor in Bioinformatics
College of Informatics, Huazhong Agricultural University
No. 1 Shizishan Street, Wuhan 430070, China
E-mail: liurong116@mail.hzau.edu.cn / Tel.: 0086-27-87280877
Research interests
My interests focus on the protein-centered computational study. The current research topics include as below: (i) development of protein function prediction algorithm based on structural information; (ii) structural study on the interaction specificity between proteins and other molecules; (iii) systems biology study on the interplay between pathogens and human with multi-omics data.
Education & academic appointments
01/2016-present |
Associate Professor, College of Informatics, Huazhong Agricultural University, China |
01/2013-12/2015 |
Lecturer, College of Informatics, Huazhong Agricultural University, China |
02/2010-01/2013 |
Post-doctor, Department of Computer Science and Engineering, University of South Carolina, USA |
09/2006-12/2009 |
PhD in Bioinformatics, Huazhong University of Science and Technology, China |
09/2003-06/2006 |
Master in Philosophy of Science and Technology, Huazhong University of Science and Technology, China |
09/1999-06/2003 |
Bachelor in Sports Medicine, Hubei University, China |
Ongoing and finished third-party fundings
01/2018 |
Fundamental Research Funds for the Central Universities: “Computational study of tuberculosis-related genes and their association network based on multi-omics data” |
01/2014 |
National Natural Science Foundation of China (NSFC) grant: “Computational prediction of protein-protein interaction and protein interaction site based on 3D structure” |
Representative publications (* means corresponding author)
Jun Sun, Qianqian Shi, Xi Chen, Rong Liu*. Decoding the similarities and specific differences between latent and active tuberculosis infections based on consistently differential expression networks. Briefings in Bioinformatics. 2019, doi: 10.1093/bib/bbz127
Hui-Fang Liu, Rong Liu*. Structure-based prediction of post-translational modification cross-talk within proteins using complementary residue- and residue pair-based features. Briefings in Bioinformatics. 2019, doi: 10.1093/bib/bby123
Jun Sun, Lingli Yang, Xi Chen, Dexing Kong, Rong Liu*. Integrating multifaceted information to predict Mycobacterium tuberculosis-human protein-protein interactions. Journal of Proteome Research. 2018, 17(11):3810-3823
Jian Hu, Huifang Liu, Jun Sun, Jia Wang, Rong Liu*. Integrating co-evolutionary signals and other properties of residue pairs to distinguish biological interfaces from crystal contacts. Protein Science. 2018, 27(9):1723-1735
Hao Zhang, Jun Sun, Jing Ye, Usama Ashraf, Zheng Chen, Bibo Zhu, Wen He, Qiuping Xu, Yanming Wei, Huanchun Chen, Zhen F. Fu, Rong Liu*, Shengbo Cao*. Quantitative label-free phosphoproteomics reveals differentially regulated protein phosphorylation involved in West Nile virus-induced host inflammatory response. Journal of Proteome Research. 2015, 14(12):5157-5168
Xiaoxia Yang, Zhiluo Deng, Rong Liu*. RBRDetector: Improved prediction of binding residues on RNA-binding protein structures using complementary feature- and template-based strategies. Proteins: Structure, Function, and Bioinformatics. 2014, 82(10):2455-71
Rong Liu, Jianjun Hu. DNABind: A hybrid algorithm for structure-based prediction of DNA-binding residues by combining machine learning and template-based approaches. Proteins: Structure, Function, and Bioinformatics. 2013, 81(11):1885-99
