袁哲明

一、个人简介

袁哲明，男，1971年9月出生。2000年6月获浙江大学博士学位。教授，博士生导师，生物信息学博士点领衔人，农业大数据分析与决策湖南省工程技术研究中心主任。研究领域：早期研究昆虫病毒分子生物学与昆虫生态学，目前研究生物信息学与复杂数据分析。学术团体兼职：湖南省生物信息学会副理事长，中国昆虫学会昆虫基因组专门委员会委员。国外学习经历：1996年赴澳大利亚布里斯班大学短期进修。联系方式：zhmyuan@sina.com。

二、教育背景

1996/09–2000/06  浙江大学，农业与生物技术学院植物保护专业，博研毕业，博士；

1992/09–1995/06  湖南农业大学，植物保护学院昆虫专业，研究生毕业，硕士；

1988/09–1992/07 湖南师范大学大学，生命科学学院生物专业，本科毕业，学士。

三、成果介绍

1.   主持的主要科研项目

[1]     粘虫痘病毒增效基因的克隆、表达及其应用.国家自然科学基金.2002.01-2004.12，批准号:30100122

[2]     发泡聚苯乙烯的大生物降解研究.国家自然科学基金.2006.01-2008.12，批准号:30570351

[3]     生物信息学新算法.教育部新世纪优秀人才支持计划项目，2006年入选，批准号：NCET-06-0710

[4]含冰核基因的促冻重组病毒构建及其应用.湖南省杰出青年基金，2010.01-2012.12，批准号：10jj1005

[5]     基于均匀设计和支持向量回归的配方优化试验设计与分析.教育部高等学校博士点专项基金（博导类），2009.1-2011.12，批准号：200805370002

[6] 高活性抗菌肽的分子设计与合成.教育部博士点基金（博导类），2013.1-2015.12，批准号：20124320110002

2.主要论文成果

[1] Xing Pengwei; Yuan Chen; Jun Gao; Lianyang Bai ; Zheming Yuan*. A fast approach to detect gene-gene synergy, Scientific Reports, 2017.11.27, 7(16437)

[2] Chen Yuan; Cao Dan; Gao Jun; Zheming Yuan*. Discovering pair-wise Synergies in Microarray Data, Scientific Reports, 2016.6, 30672

[3] Chen Yuan; Wang Lifeng; Li Lanzhi; Zhang Hongyan; Zheming Yuan*. Informative gene selection and the direct classification of tumors based on relative simplicity, BMC Bioinformatics, 2016.1.19, 17(44): 1~16

[4] Dai Zhijun ; Wang Lifeng ; Chen Yuan; Wang Haiyan; Bai Lianyang; Zheming Yuan*. A pipeline for improved QSAR analysis of peptides: physiochemical property parameter selection via BMSF, near-neighbor sample selection via semivariogram, and weighted SVR regression and prediction, Amino acids, 2014.04.1, 46(4): 1105~1119

[5] Zhang, Hongyan; Wang, Haiyan; Dai, Zhijun; Chen, Ming-shun;Yuan,Zheming*. Improving accuracy for cancer classification with a new algorithm for genes selection , BMC Bioinformatics, 2012.11.13, 13(298): 1~20

[6] Wang,Haiyan; Zhang, Hongyan; Dai, Zhijun; Chen, Ming-shun; Yuan,Zheming*. TSG: a new algorithm for binary and multi-class cancer classification and informative genes selection, BMC Medical Genomics, 2013.1.23, 6

[7] Chen Yuan; Zeng Ying; Luo Feng; Yuan,Zheming*. A New Algorithm to Optimize Maximal Information Coefficient, PLoS ONE, 2016, 11(6)

[8] LifengWang; ZhijunDai; HongyanZhang; LianyangBai; Zheming Yuan*. Quantitative Sequence–Activity Model Analysis of Oligopeptides Coupling an Improved High-Dimension Feature Selection Method with Support Vector Regression, Chem Biol Drug Des, 2014.1.1, 83: 379~391

[9] Zhou, Wei; Dai, Zhijun; Chen, Yuan; Wang, Haiyan;Yuan, Zheming*. High-Dimensional Descriptor Selection and Computational QSAR Modeling for

Antitumor Activity of ARC-111 Analogues Based on Support Vector Regression

(SVR), International Journal of Molecular Sciences, 2012.1, 13(1): 1161~1172

[10] Zhang Hongyan; Li Lanzhi; Luo Chao; Sun Congwei; Chen Yuan; Dai Zhijun; Yuan Zheming*. Informative gene selection and direct classification of tumor based on chi-square test of pairwise gene interactions, BioMed Research International, 2014.7.1, 2014

[11] Li Jinliang; Wang Lifeng; Wang Haiyan; Bai Lianyang; Yuan Zheming*. High-Accuracy Splice Sites Prediction Based on Sequence Component and Position Features, Genetics and Molecular Research, 2012, 11(3): 3432~3451

[12] Chen Yuan; Zhou Wei; Wang Hongyan; Yuan Zheming*. Prediction of O-glycosylation sites based on multi-scale composition of amino acids and feature selection, Medical & Biological Engineering & Computing, 2015, 53(6): 535~544

[13] Zhou Wei; Wu Shubo; Dai Zhijun; Chen Yuan; Xiang Yan; Chen Jianrong; Sun Chunyu; Zhou Qingming; Yuan Zheming*. Nonlinear QSAR models with high-dimensional descriptor selection and SVR improve toxicity prediction andevaluation of phenols on photobacterium phosphoreum, Chemometrics and Intelligent Laboratory Systems, 2015, 145: 30~38

[14] Xiang Yan, Chen Yuan, Tan Siqiao, Yuan Zheming*. Predicting O-glycosylation Sites by Combining Three Different Types of Features. Progress in Biochemistry and Biophysics, 2016, 43(7): 1~8

[15] Wei Zhou; Yanjun Fan; Xunhui Cai; Yan Xiang; Peng Jiang; Zhijun Dai;Yuan Chen; Siqiao Tan; Zheming Yuan*. High-accuracy QSAR models of narcosis oxicities of phenols based on various data partition, descriptor selection and modelling methods, RSC Advance, 2016.10.02, 6: 106847~106855

3.主要获奖成果

主持获湖南省自然科学三等奖一项，参与获国家科技进步二等奖、教育部科技进步二等奖、湖南省科技进步三等奖各一项。

4.其它重要成果

    被评为校首届十佳研究生导师。指导研究生获省优硕士论文4篇、校优博士论文3篇、校优硕士论文6篇；获全国研究生数模竞赛二等奖2项、三等奖2项，省研究生数模竞赛一等奖一项、三等奖2项。