胡秀珍 照片

胡秀珍

教授 硕士生导师

所属大学: 内蒙古工业大学

所属学院: 理学院

个人主页:
http://lixueyuan.imut.edu.cn/info/1112/2479.htm

个人简介

女,1964年11月生,汉族,内蒙古海拉尔人,博士,教授,硕士生导师。现就职于理学院数学学科和物理电子学学科,已指导毕业硕士生20余人,现在读硕士2人。

1983-1990年就读于内蒙古大学物理系理论物理专业,获理学学士、硕士学位;2003-2008年就读于内蒙古大学数理学院,获得理学博士学位。

2.主讲课程

【1】本科生课程:大学物理、太阳能发电原理及应用、LED制造技术及应用

【2】研究生课程:生物数学、现代分子生物学

5.科研项目

A.主持的项目

【1】国家自然科学基金项目“基于序列信息的酶蛋白质分子结构功能的理论研究”,主持人,(进行中)

【2】内蒙古自然科学基金项目“几种金属离子配体结合残基的理论分析及预测”,主持人,(进行中)

研究领域

【1】计算生物学

【2】生物信息学

【3】理论生物物理学。

学术兼职

【1】自治区草原英才

【2】国家教指委委员

【3】自治区“321”一层次人才

近期论文

[1]Zhenxing Feng,Xiuzhen Hu, Zhuo Jiang, Hangyu Song.The Recognition of 76-class Protein Folds by adding average chemical shifts of secondary structure elements.Saudi Journal of Biological Sciences,Volume 23, Issue 2, March 2016, Pages 189–197(SCI)。

[2]Lixia Sun,Xiuzhen Huhttp://www.sciencedirect.com/science/article/pii/S1319562X15002466 - cor1mailto:hxz@imut.edu.cn,Shaobo Li,Zhuo Jiang,Kun Li,Prediction of complex super-secondary structure βαβ motifs based on combined features,Saudi Journal of Biological Sciences,Volume 23, Issue 1, January 2016, Pages 66–71(SCI)

[3]Xiuzhen Huhttp://www.sciencedirect.com/science/article/pii/S1319562X15002466 - cor1mailto:hxz@imut.edu.cn,Qiwen Dong, Jianyi Yang and Yang Zhang,Recognizing metal and acid radical ion-binding sites by integrating ab initio modeling with template-based transferals,Bioinformatics, 32(21), 2016, 3260–3269(SCI)

[4]Z. Jiang,X.Z. Hu, G. Geriletu, H.R. Xing and X.Y. Cao, Identification of Ca2+-binding residues of a protein from its primary sequence, Genetics and Molecular Research ,2016,15 (2):1-13(SCI)

[5]Xiuzhen Hu, Kai Wang and Qiwen Dong,Protein ligand-specific binding residue

predictions by an ensemble classifier,BMCBioinformatics,(2016) 17:470

DOI 10.1186/s12859-016-1348-3(SCI)

[6]Zhenxing Feng andXiuzhen Hu,Recognition of 27-Class Protein Folds by Adding the Interaction of Segments and Motif Information,BioMed Research International2014,1-9(SCI)

[7]Ying WangXiuzh en HuLixia Sun,Zhenxing Feng Hangyu Song,Predicting Enzyme Subclasses by Using Random Forest with Multi-characteristic Parameters Protein Pept Lett. 2014;21(3):275-84. (SCI)

[8]Gao SujuanHu XiuzhenPrediction of four kinds of supersecondary structures in enzymes by using SVM based on scoring function,BioTechnology,2014(10):5986-5996(EI)

[9]Lixia SunXiuzhen Hu。Recognition of beta-alpha-beta Motifs in Proteins by Using Random Forest Algorithm。2013 6th International Conference on BioMedical Engineering and Informatics (BMEI)

[10]宋航宇,胡秀珍,冯振兴,姜卓,孙利霞。基于统计特征的酶蛋白质中特殊模体βαβ预测。生物物理学报(国家一级学刊)

[11]Hangyu SongXiuzhen HuThe prediction of special motif βαβ of the enzyme protein based on the statistical characteristics生物物理学报增刊20-013(国家一级学刊)

[12]Zhenxing FengXiuzhen HuThe prediction of 27 protein fold types based onthe interaction ofpredicted secondary structure segments生物物理学报增刊20-014(国家一级学刊)