张会

时间:2020-03-14浏览:6128设置

基本信息

姓名:  张 会   

电子邮箱: zhanghui123gansu@163.com

办公地址:知行校区开物楼B215

教育和工作经历

1) 2025.1-至今,教授,英国上市公司365

2)2019.9-2020.7,四川老员工物治疗国家重点实验室,访问学者

3)2015.11-2024.12,副教授,英国上市公司365

4)2012.7-2015.10,讲师,英国上市公司365

5)2009-09  2012-07, 四川大学, 药物化学, 博士

6) 2006-09  2009-07, 四川大学, 应用化学, 硕士

7) 2002-09  2006-07, 河南工业大学, 应用化学, 学士 

研究方向

1. 新型靶向先导化合物的发现、改构及分子药理学研究。

2.小分子化合物药代动力学性质及毒性性质的研究。

近五年代表性成果

1. Hui Zhang*, Hua Zhao Qi, Ya Juan Li, Xiu Yun Shi, Mei Ling Hu, Xiang Long Chen, Yuan Li. Identifcation of novel inhibitors targeting PI3Kα via ensemble based virtual screening method, biological evaluation and molecular dynamics simulation. Journal of Computer-Aided Molecular Design, 2024, 38:37, 1-22

2. Wen Zhang, Mei Ling Hu, Xiu Yun Shi, Xiang Long Chen, Xue Su, Hua Zhao Qi, Li Yuan, Hui Zhang*. Discovery of novel Akt1 inhibitors by an ensemble based virtual screening method, molecular dynamics simulation, and in vitro biological activity testing. Molecular Diversity, 2024, 28:3949–3963

3. Hui Zhang*, Qing-Qing Luo, Mei-Ling Hu, Ni Wang, Hua-Zhao Qi, Hong-Rui Zhang, Lan Ding. Discovery of potent microtubule-destabilizing agents targeting for colchicine site by virtual screening, biological evaluation, and molecular dynamics simulation. European Journal of Pharmaceutical Sciences 180 (2023) 106340

4. Hui Zhang*, HongRui Zhang, Jian Zhang, MeiLing Hu, Li Ren, QingQing Luo, HuaZhao Qi. Discovery of novel S6K1 inhibitors by an ensemblebased virtual screening method and molecular dynamics simulation. Journal of Molecular Modeling (2023) 29:102.

5. Mao Jun; Luo Qing-Qing; Zhang Hong-Rui; Zheng Xiu-He; Shen Chen; Qi Hua-Zhao; Hu Mei-Ling; Zhang Hui*; Discovery of microtubule stabilizers with novel scaffold structures based on virtual screening, biological evaluation, and molecular dynamics simulation, Chemico-Biological Interactions, 2022, 352, 109784.

6. Zhang Hui*; Qi Hua-Zhao; Mao Jun; Zhang Hong-Rui; Luo Qing-Qing; Hu Mei-Ling; Shen Chen; Ding Lan; Discovery of novel microtubule stabilizers targeting taxane binding site by applying molecular docking, molecular dynamics simulation, and anticancer activity testing, Bioorganic Chemistry, 2022, 122.

7. Zhang Hui*; Zhang Hong-Rui; Hu Mei-Ling; Qi Hua-Zhao; Development of binary classification models for assessment of drug-induced liver injury in humans using a large set of FDA-approved drugs, Journal of Pharmacological and Toxicological Methods, 2022, 116, 107185.

8. Zhang Hui*; Shen Chen; Zhang Hong-Rui; Qi Hua-Zhao; Hu Mei-Ling; Luo Qing-Qing; Identification of Novel Inhibitors Targeting SGK1 via Ensemble-Based Virtual Screening Method, Biological Evaluation, and Molecular Dynamics Simulation, Int. J. Mol. Sci., 2022, 23, 8635.

9. Zhang Hui*; Shen Chen; Zhang Hong-Rui; Chen Wen-Xuan; Luo Qing-Qing; Ding Lan; Discovery of novel DGAT1 inhibitors by combination of machine learning methods, pharmacophore model and 3D QSAR model, Molecular Diversity, 2021, 24,1481-1495.

10. Zhang Hui*; Mao Jun; Yang Yan-Li; Liu Chun-Tao; Shen Chen; Zhang Hong-Rui; Ding Lan; Discovery of novel tubulin inhibitors targeting taxanes site by virtual screening, molecular dynamic simulation, and biological evaluation, J Cell Biochem, 2021, 122,1609-1624.

11. Zhang Hui*; Mao Jun; Qi Hua-Zhao; Ding Lan; In silico prediction of drug induced developmental toxicity by using machine learning approaches, Molecular Diversity, 2020, 24, 1281-1290.

12. Zhang Hui*; Shen Chen; Liu Ru-Zhou; Mao Jun; Liu Chun-Tao; Mu Bo; Developing novel in silico prediction models for assessing chemical reproductive toxicity using the naïve Bayes classifier method, J Appl Toxicol, 2020, 40, 1198-1290.

13. Zhang Hui*; Liu Chun-Tao; Mao Jun; Shen Chen; Xie Rui-Ling; Mu Bo; Development of novel in silico prediction model for drug-induced ototoxicity by using naïve Bayes classifier approach, Toxicology in Vitro, 2020, 65, 104812.

14. Zhang Hui*; Mao Jun; Qi Hua-Zhao; Shen Chen; Liu Chun-Tao; Ding Lan; Developing novel computational prediction models for assessing chemicalinduced neurotoxicity using naïve Bayes classifier techni, Food and Chemical Toxicology, 2020, 143, 111513.

近五年承担研究课题

(1) 国家自然科学基金委员会, 地区科学基金项目, 82260693, 靶向紫杉醇位点微管抗肿瘤新型稳定剂的发现及其生物活性的评价, 2023-01-01  2026-12-31, 33万元, 在研, 主持

(2) 国家自然科学基金委员会, 青年科学基金项目, 81903543, 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, 2020-01-01  2022-12-31, 21万元, 结题,主持

(3) 国家自然科学基金委员会, 地区科学基金项目, 81660589, 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, 2017-01-01  2020-12-31, 37万元, 结题, 主持

 

(4) 甘肃省科学技术厅, 甘肃省自然基金, 20JR5RA534, 药物诱导神经毒性计算机预测模型的构建、验证及毒性分子结构特征的分析研究, 2020-11  2022-11, 4万元, 结题, 主持

主持教学工作情况

承担课程主要承担本科生的《物理化学》、《药品生产质量管理工程》、《科技信息检索与论文写作》、《计算机辅助药物设计》以及硕士生的《药物设计与分子药理学》、《制药工艺与技术》及《药物设计与合成》等7门理论课程,开设《生命科学基础》、《食品药品安全与公众健康》等2门全校公选课程

主持教学项目:校级教学改革项目——参与式研讨项目(物理化学)2021

教学获奖:1. 获第五十六届教育实习优秀指导教师,2016

2. 第三届(2018)、第四届(2020)“双星计划”荣誉称号。

3. 第五届、第六届英国正版365官方网站青年教师教学创新大赛,获英国上市公司365一等奖2次。

获奖情况

指导本科生参加各类竞赛,获全国生命科学创新创业大赛二等奖2项、全国生命科学竞赛三等奖3项以及甘肃省赛区的各类奖项15余项。负责指导的硕士研究生2人获国家奖学金,3人获得“创新之星”项目资助、4人获一等奖学金,3人获“学术之星”荣誉称号。


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