张会

时间:2020-03-14浏览:1038设置

基本信息

姓名:张会          

电子邮箱:zhanghui123gansu@163.com

办公地址:新校区实验综合大楼B215

教育和工作经历

2015-目前,副教授,澳门新浦新京8455com制药工程系

2019.7-2020.7,访问学者,四川大学华西医院生物治疗国家重点实验室药物设计与分子药理

2012-2015,讲师,澳门新浦新京8455com制药工程系

2009-2012,博士,四川大学华西医院生物治疗国家重点实验室药物化学

2006-2009,硕士,四川大学华西医院生物治疗国家重点实验室药物化学、化学化工学院应用化学

2001-2005,学士,河南工业大学应用化学

研究方向

计算机辅助药物设计与分子药理

近五年代表性成果

1.Hui Zhang*, Jun Mao,  Hua Zhao Qi, Lan Ding*  In silico prediction of drug induced developmental toxicity by using machine learning approaches, Molecular Diversity, 2019, Doi: https://doi.org/10.1007/s11030-019-09991-y

2. Hui Zhang*,   Ji-Xia Ren,  Jin-Xiang Ma, Lan Ding*.  Development of an in silico prediction model for chemical-induced urinary tract toxicity by using naïve Bayes classifier. Molecular Diversity (2019) 23:381–392

3. Hui Zhang*, Jin-Xiang Ma, Chun-Tao Liu, Ji-Xia Ren, Lan Ding Development and evaluation of in silico prediction model for drug-induced respiratory toxicity by using naïve Bayes classifier method. Food and Chemical Toxicology, (2018)121, 593–60

4. Hui Zhang*, Peng Yu, Ji-Xia Ren, Xi-Bo Li, He-Li Wang, Lan Ding, Wei-Bao Kong.  Development of novel prediction model for drug-induced mitochondrial toxicity by using naïve Bayes classifier method. Food and Chemical Toxicology 110 (2017) 122–129

5. Hui Zhang*, Ji-Xia Ren, Yan-Li Kang, Peng Bo, Jun-Yu Liang, Lan Ding,,Wei-Bao Kong, Ji Zhang. Development of novel in silico model for developmental toxicityassessment by using naïve Bayes classifier method. Reproductive Toxicology 71 (2017) 8–15

6.  Hui Zhang*, Yan-Li Kang, Yuan-Yuan Zhu, Kai-Xia Zhao, Jun-Yu Liang, Lan Ding, Teng-Guo Zhang, Ji Zhang.  Novel naïve Bayes classification models for predicting the chemical Ames mutagenicity. Toxicology in Vitro 41 (2017) 56–63

7. Hui Zhang*,  Lan Ding, Yi Zou, Shui-Qing Hu, Hai-Guo Huang, Wei-Bao Kong, Ji Zhang. Predicting drug-induced liver injury in human with Naı¨ve Bayes classifier approach. J Comput Aided Mol Des (2016) 30:889–898

8. Hui Zhang*, Zhi-Xing Cao, Meng Li, Yu-Zhi Li, Cheng Peng. Novel naïve Bayes classification models for predicting the carcinogenicity of chemicals. Food and Chemical Toxicology 97 (2016) 141–149

9. Hui Zhang*, Peng Yu, Ming Li Xiang, Xi Bo Li,  Wei Bao Kong, Jun Yi Ma, Jun Long Wang,  Jin Ping Zhang. Ji Zhang. Prediction of drug-induced eosinophilia adverse effect by using SVM and Naı¨ve Bayesian approaches. Med. Biol. Eng. Comput. (2016) 54, 361–369

软件:三致毒性SVM预测模型.zip  三致毒性NB预测模型.zip

近五年承担研究课题

2020-2022, 国家自然科学基金青年项目, 药物诱导靶器官毒性预测模型的构建及毒性分子结构特征的分析研究 (81903543)

2017-2020, 国家自然科学基金地区项目, 有机化合物诱导“三致”毒性预测模型的构建、验证及毒性分子结构特征的分析研究(81660589

教学工作情况

承担课程:本科生:物理化学、药品生产质量管理工程、制药工程专业英语;研究生:药物设计与分子药理学

获奖情况

1、西北师范大学第三届“双星计划”

2、第五十六届教育实习优秀指导教师

3、指导本科生获得第四届全国大学生创新创业生命科学创新创业(NDC2019CXCY01898)一等奖

4、指导本科生获得第四届全国大学生创新创业生命科学创新创业(NDC2019CXCY02614)二等奖




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