个人简历

教育经历
2006年-2009年，华中科技大学，生物信息技术，工学博士
2003年-2006年，华中科技大学，科学技术哲学，哲学硕士
1999年-2003年，湖北大学，运动人体科学，教育学学士
主要职历
2014年-至今，华中农业大学，信息学院，讲师、副教授
2013年-2014年，华中农业大学，生命科学技术学院，讲师
2010年-2013年，美国南卡罗莱纳大学，计算机科学与工程系，博士后

研究领域

生物信息学

近期论文

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 and 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
Jing Chen, Jun Sun, Xiangming Liu, Feng Liu, Rong Liu*, Jia Wang*. Structure-based prediction of West Nile virus-human protein-protein interactions. Journal of Biomolecular Structure and Dynamics. 2018, 25:1-24
Jun Sun, Jia Wang, Dan Xiong, Jian Hu, Rong Liu*. CRHunter: integrating multifaceted information to predict catalytic residues in enzymes. Scientific Reports. 2016, 6:34044
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, Jia Wang, Jun Sun, Rong Liu*. SNBRFinder: A sequence-based hybrid algorithm for enhanced prediction of nucleic acid-binding residues. PLoS ONE. 2015, 10(7): e0133260
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
Rong Liu, Jianjun Hu. Computational prediction of heme-binding residues by exploiting residue interaction network. PLoS ONE. 2011, 6(10):e25560
Rong Liu, Jianjun Hu. HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information. BMC Bioinformatics. 2011, 12:207
Rong Liu, Jianjun Hu. Prediction of discontinuous B-cell epitopes using logistic regression and structural information. Journal of Proteomics & Bioinformatics. 2011, 4:010-015
Rong Liu, Wenchao Jiang, Yanhong Zhou. Identifying protein-protein interaction sites in transient complexes with temperature factor, sequence profile and accessible surface area. Amino Acids. 2010, 38(1):263-270
Rong Liu, Yanhong Zhou. Using support vector machine combined with post-processing procedure to improve prediction of interface residues in transient complexes. The Protein Journal. 2009, 28(7-8):369-374\