PERSONAL INFORMATION
Name: Yonghong Zhang
Gender: Female
Title: Professor
Position: Ph.D. Candidate Supervisor
CONTACT INFORMATION
Email: zhyvonne26@cqmu.edu.cn
Address: 1 Yixueyuan Road, Yuzhong District,
Chongqing 400016, P.R.China
Phone: +86-23-68485161
EDUCATION EXPERIENCE
2003.9-2006.6 Master , Analytical Chemistry, Chongqing University, Chongqing, China
2008.3-2013.6 Ph.D. Biomedical Engineering, Chongqing University, Chongqing, China
2009.1- 2013.5 Visiting doctoral Postgraduate Student, Biomedical Engineering, Tongji University, Shanghai, China
WORKING EXPERIENCE
2000.7- Teacher, College of Pharmacy, Chongqing Medical University，Chongqing, China
2017.7-2018.7 Visiting Scholar, the Skaggs School of Pharmacy and Pharmaceutical Sciences, UCSD; USA;
2014.9-2015.6 Visiting Scholar, State Key Laboratory of Microbial Metabolism and College of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China;
2016-, Associate Editor, Interdisciplinary Sciences-- Computational Life Sciences (a SCI Journal, IF=4.8)
2023-, Vice President, Chongqing Bioinformatics Society, Chongqing, China.
RESEARCH INTERESTS
Research interests are interdisciplinary science, computer bioscience, computer life science, and computational aided drug analysis and evaluation.
Focus on scientific/computational research projects on bioinformatics, cheminformatics and computer-aided drug design (CADD) for Clinical Big-data and Drug Evaluation, specifically, use artificial intelligence, network analysis, and other bioinformatics methods to study the interaction mechanism between drugs and targets, and explore the toxicological mechanisms of adverse drug reactions. I have published 5 books and more than 40 SCI articles. H Index=15, I10 Index=20.
HONOUR & AWARDS
2021 Honor of Outstanding Graduate Tutor, Chongqing Medical University
2022 Outstanding Scientific and Technological Achievement Award, Chongqing Medical University
2023 Second Prize of Graduate Teaching Achievement Award, Chongqing Medical University
PUBLICATIONS
1. Tang T, Gan X, Zhou L, Pu K, Wang H, Da W, Zhou B, Mo L,Zhang Y*, Exploring the Hepatotoxicity of Drugs through Machine Learning and Network Toxicological Methods, Current Bioinformatics 2023; 18, 484-496
2. Wang H, Zhang J, Lu Z, Dai W, Ma C, Xiang Y, Zhang Y*. Identification of potential therapeutic targets and mechanisms of COVID-19 through network analysis and screening of chemicals and herbal ingredients. Brief Bioinform. 2022 Jan 17;23(1):bbab373.
3. Dai W, Tang T, Dai Z, Shi D, Mo L, Zhang Y*. Probing the Mechanism of Hepatotoxicity of Hexabromocyclododecanes through Toxicological Network Analysis. Environ Sci Technol. 2020 Dec 1;54(23):15235-15245
4. Zhang Y*#, Shi D#, Abagyan R#, Dai W, Dong M. Population Scale Retrospective Analysis Reveals Potential Risk of Cholestasis in Pregnant Women Taking Omeprazole, Lansoprazole, and Amoxicillin. Interdiscip Sci. 2019 Jun;11(2):273-281.
5. Huang Y#, Gu J#, Yan Z#, Hu X#, He D#, Zhang Y#, Li Y, Zhong C, Yang J, Shi D, Abagyan R, Tan Q, Zhang J*. Cytomembrane-mimicking nanocarriers with a scaffold consisting of a CD44-targeted endogenous component for effective asparaginase supramolecule delivery. Nanoscale. 2020 Jun 11;12(22):12083-12097.
6. Yang L#, Zhang Y#, Xie J#, Zhong C#, He D#, Wang T, Li K, Li Y, Shi D, Abagyan R, Yang L, Zhang J*. Biomimetic polysaccharide-cloaked lipidic nanovesicles/microassemblies for improving the enzymatic activity and prolonging the action time for hyperuricemia treatment. Nanoscale. 2020 Jul 23;12(28):15222-15235.
7. He X#, Feng J#, Yan S#, Zhang Y#, Zhong C, Liu Y, Shi D, Abagyan R, Xiang T, Zhang J*. Biomimetic microbioreactor-supramolecular nanovesicles improve enzyme therapy of hepatic cancer. Nanomedicine. 2021 Jan;31:102311.
8. Huang S, Mei H*, Chen L, Shi T, Kuang Z, Heng Y, Zhang Y*, Lu L*. Computational insight into the conformational transition of human toll-like receptor 8 in the agonist-induced activation processes. J Biomol Struct Dyn. 2019 Dec 12:1-7.
9. Yang HF, Zhang XN, Li Y, Zhang YH*, Xu Q*, Wei DQ. Theoretical Studies of Intracellular Concentration of Micro-organisms' Metabolites. Sci Rep. 2017 Aug 22;7(1):9048.
10. Y-H Zhang*, Z-N Xia, Y Li, S-S Liu*. Prediction of Placental Barrier Permeability: A Model Based on Partial Least Squares Variable Selection Procedure. Molecules. 2015, 20: 8270-8286.
11. Y-H Zhang, Z-N Xia*, L-T Qin, S-S Liu*. Prediction of blood–brain partitioning: A model based on molecular electronegativity distance vector descriptors. J Mol. Graph. Model. 2010,29: 214-220.
Funding
2022 Program for Youth Innovation in Future Medicine, Chongqing Medical University (¥500,000)
2021 National Natural Science Foundation of China, 22176020, China. (¥600,000)
2020 Natural Science Foundation of Chongqing Science and Technology Committee，cstc2020jcyj-msxmX0150, Chongqing, China. (¥100,000)
2020 Smart Medicine Project of Chongqing Medical University，ZHYX202020，Chongqing, China. (¥40,000)
2019 Open project of Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, GKN1901K005, China. (¥50,000)
2019 Science and technology project of Chongqing Municipal Education Commission of China, KJQN201900440, Chongqing, China. (¥40,000)
2019 Project of School of Pharmacy, Chongqing Medical University, YXY2019XSGG8, Chongqing, China. (¥50,000)
2017 National Natural Science Foundation of China, 21707012, China. (¥180,000)
2015 Science and technology project of Chongqing Municipal Education Commission of China, KJ1500205, Chongqing, China. (¥60,000)
2015 Open Fund of State Key Laboratory of Microbial Metabolism, MMLKF15-06, Shanghai Jiao Tong University, Shanghai, China. (¥80,000)
2014 Open Fund of Chongqing Key Lab of Natural Medicine Research, 1456032, Chongqing Technology &Business University, Chongqing, China.(¥30,000）
