当前位置: X-MOL首页全球导师 国内导师 › 刘融

个人简介

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

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

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"

推荐链接
down
wechat
bug