方亚平 【副教授】
姓名 方亚平 性别
职称 副教授 学位 博士
电话 027-87284285 邮箱 ypfang@mail.hzau.edu.cn
工作单位 华中农业大学信息学院
研究方向 生物信息学、化学信息学和系统生物学
教育经历

2005.9 - 2010.7,四川大学,化学生物学,博士(硕博连读)
     2001.9 - 2005.7,华中师范大学,化学系,学士

主要职历

2014.7 - 至今,    华中农业大学信息学院,副教授
     2013.9 - 2014.6    华中农业大学理学院,副教授
     2011.7 - 2013.7    美国堪萨斯大学 博士后
     2010.10 - 2011.7   美国俄克拉荷马 博士后

科研成果

近期发表论文:

1.      Le Zhan, Hui-Xin Liu, Yaping Fang, Bo Kong, Yuqi He, Xiao-bo Zhong, Jianwen Fang, Yu-Jui Yvonne Wan, Grace L. Guo*. Genome-Wide Binding and Transcriptome Analysis of Human Farnesoid X Receptor in Primary Human Hepatocytes. PLoS ONE, 2014, 9(9):e105930

2.      Yaping Fang, Shan Gao, David Tai, C Russell Middaugh and Jianwen Fang*. Identification of properties important to protein aggregation using feature selection. BMC Bioinformatics, 2013, 14:314 (Co-first author)

3.      Yuqi He, Lei Gong, Yaping Fang, Qi Zhan, Huixin Liu, Yanliu Lu, Grace L. Guo, Lois Lehman-McKeeman, Jianwen Fang, and Yu-Jui Yvonne Wan*. The role of retinoic acid in hepatic lipid homeostasis defined by genomic binding and transcriptome profiling., BMC Genomics, 2013,28;14(1):575

4.      Hui-Xin Liu, Yaping Fang, Ying Hu, Frank J Gonzalez, Jianwen Fang and Yu-Jui Yvonne Wan*. PPARβ Regulates Liver Regeneration by Modulating E2f Signaling. PLoS ONE, 2013, 8(6): e65644

5.      Shu-Lin Wang, Yaping Fang, and Jianwen Fang*. Diagnostic Prediction of Complex Diseases Using Phase-Only Correlation Based on Virtual Sample Template, BMC Bioinformatics, 2013, 14(S8):S11

6.      Ann M. Thomas, Steve N. Hart, Guodong Li, Hong Lu, Yaping Fang, Jianwen Fang, Xiao-bo Zhong, Grace L. Guo*. Hepatocyte Nuclear Factor 4 Alpha and Farnesoid X Receptor Co-regulates Gene Transcription in Mouse Livers on a Genome-wide Scale. Pharm Res. 2013, 30(9):2188-2198

7.      Ying Hu, Hui-Xin Liu, Yuqi He, Yaping Fang, Jianwen Fang, and Yu-Jui Yvonne Wan*. Transcriptome profiling and genome-wide DNA binding define the differential role of fenretinide and all-trans RA in regulating the death and survival of human Huh7 cells.Biochemical Pharmacology, 2013, 85(7):1007-1017

8.      Yaping Fang and Jianwen Fang*. Discrimination of soluble and aggregation-prone proteins based on sequence information, Mol. BioSyst., 2013, 9(4):806-811.

9.      Yaping Fang, Hui-xin Liu, Ning Zhang, Grace L. Guo, Yu-Jui Yvonne Wan, Jianwen Fang*. NURBS: A Database of Experimental and Predicted Nuclear Receptor Binding Sites of Mouse, Bioinformatics, 2013, 29(2), 295-297

10.    Yaping Fang, C. Russell Middaugh and Jianwen Fang*. In silico classification of proteins from acidic and neutral cytoplasms, PLoS ONE, 2012, 7(9): e45585.

11.    Yaping Fang, Jun Li*. Genomic law guided gene prediction in fungi and metazoans, Int. J. of Computational Biology and Drug Design (IJCBDD), 2013, 6, 157-169

12.    Qi Zhan, Yaping Fang, Yuqi He, Huixin Liu, Lei Gong, Lois Lehman-McKeeman, Jianwen Fang, and Yu-Jui Yvonne Wan*. Function annotation of hepatic retinoid x receptor alpha based on genome-wide DNA binding and transcriptome profiling, PLoS ONE, 2012, 7(11): e50013.

13.    Shan Gao, Shuo Xu, Yaping Fang and Jianwen Fang*. Prediction of core cancer genes using multitask classification framework. J. Theor. Biol., 2012, 317:62-70 (IF:2.208)

14.    Shan Gao, Shuo Xu, Yaping Fang, Jianwen Fang*. Investigating kinase-specific phosphorylation sites using multitask learning methods, Proteome Science. 2012, 10(S1):S7.

15.    Cuicui WangYaping Fang, Menglong Li*, Jiamin Xiao. Identification RNA-binding sites in proteins by integrating various sequence information, Amino Acids, 2011, 40, 239-48 (Co-first author)

16.    Yunqi Li, Yaping Fang, Jianwen Fang*. Predicting residue-residue contacts using random forest models, Bioinformatics, 2011, 27, 3379-3384

17.    Yaping Fang, Daichuan Ma, Menglong Li*, Zhining Wen, Yuanbo Diao. Investigation of the proteins folding rates and their properties of Amino Acid Networks, Chemom Intell Lab Syst. 2010, 101, 123-129

18.    Lirong Liu, Yaping Fang, Menglong Li*, Cuicui Wang. Prediction of Beta-Turn in Protein Using E-SSpred and Support Vector Machine, Protein J, 2009, 28, 175-181

19.    Jiang Wu, Yuanbo Diao, Menglong Li*, Yaping Fang, Daichuan Ma. A semi-supervised learning based method: Laplacian support vector machine used in diabetes disease diagnosis, Interdiscip Sci Comput Life Sci, 2009, 1, 151-155

20.    Yaping Fang, Yanzhi Guo, Yi Feng, Menglong Li*. Predicting DNA-binding proteins: approached from Chou’s pseudo amino acid composition and other specific sequence features, Amino Acids, 2008, 34,103-109

21.    Yaping Fang, Yi Feng, Menglong Li*. Optimal QSAR analysis of the carcinogenic activity of aromatic and heteroaromatic amine, QSAR Comb Sci, 2008, 27, 543-554

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