Rong Liu

Release time:May 27, 2020Edit:Browse times:

        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: / 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


Associate   Professor, College of Informatics, Huazhong   Agricultural University, China


Lecturer, College of Informatics, Huazhong Agricultural University,   China


Post-doctor, Department of Computer Science and Engineering, University of   South Carolina, USA


PhD   in Bioinformatics, Huazhong University of   Science and Technology, China


Master   in Philosophy of Science and Technology, Huazhong   University of Science and Technology, China


Bachelor   in Sports Medicine, Hubei University, China


Ongoing and finished third-party fundings


Fundamental   Research Funds for the Central Universities: “Computational study of   tuberculosis-related genes and their association network based on multi-omics   data”


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

ICP 05008441 Address: No. 430070, Shizishan Street, Nanhu, Wuhan, Hubei Province
Telephone number: 027-87288509 recruitment and employment telephone number: 027-87286876 E Mail: Coi@mail. com. at coi-xinwen@mail.

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