Lecture Title: From QSAR to "Artificial Intelligence + Pharmacy"
Date: April 18, 2024 (Thursday) 15:30-17:00
Location: Smart Classroom 404, Zhizhen Building, Health Science Center
Speaker Profile: Zhang Yonghong Zhang Yonghong, Professor and Doctoral Supervisor in the School of Pharmacy at Chongqing Medical University, is a specially appointed researcher at the Zhongjing Traditional Chinese Medicine Industry Research Institute and a visiting scholar at the University of California San Diego. He is a member of the Computational Biology and Bioinformatics Committee of the China Society of Biotechnology, Vice Chairman of the Chongqing Bioinformatics Society, committee member of the Medical Information Big Data Committee of the Chongqing Pharmaceutical Association, Deputy Editor of Interdisciplinary Sciences-Computational Life Sciences (IF=4.8), and an editorial board member of Computational Biomedicine journal.
His research focuses on artificial intelligence in pharmacy and computational toxicology. He is primarily engaged in research related to drug repositioning, evaluation of drug target effectiveness, drug safety assessment, computational toxicology, and health risk assessment. He has led 13 projects at national and provincial levels, including the National Natural Science Foundation of China. Zhang has contributed to six specialized books such as "Computer-Aided Drug Design" and "Structural Bioinformatics," and holds six publicly disclosed patents. His work has been published in over 40 high-impact papers in journals like Environmental Science & Technology and Briefings in Bioinformatics, with a highest single paper IF of 13.994, and has been positively cited and reviewed by peers both domestically and internationally. He has guided graduate students to obtain research grants from Chongqing Municipal Graduate Research Innovation Project, Outstanding Talent Project, and several projects in Smart Medicine. His students have received national scholarships, Chongqing Excellent Master's Thesis awards, and multiple recognitions for research innovation and academic excellence.
