欧阳德方
下載導師簡歷CV
Section 1: Personal Particulars
欧阳德方
OUYANG DEFANG
Associate Professor
853-88224514
defangouyang@um.edu.mo
University of Macau
UMAC-SKL of Quality Research in Chinese Medicine
https://sklqrcm.um.edu.mo/de-fang-ouyang/
Research Project provided for Macao Youth Scholars Program:
mRNA脂质纳米颗粒的理性设计
Rational design of mRNA lipid nanoparticle
1007 药学
0202 应用经济学,0702 物理学,0703 化学,0704 天文学,0705 地理学,0707 海洋科学,0708 地球物理学,0709 地质学,0710 生物学,0713 生态学,0802 机械工程,0803 光学工程,0805 材料科学与工程,0807 动力工程及工程热物理,0808 电气工程,0809 电子科学与技术,0810 信息与通信工程,0811 控制科学与工程,0814 土木工程,0827 核科学与技术,0831 生物医学工程,1001 基础医学,1004 公共卫生与预防医学,1007 药学,1008 中药学
PhD
Prof. Ouyang published 2 books, 6 book chapters, over 80 high-quality SCI journal papers (e.g. Journal of Controlled Release, Chemical Engineering Journal, Drug Discovery Today et al.), and over 100 invited presentations (e.g. US-FDA, University of Toronto and CRS Annual Meeting). He had been granted 5 patents, which had been used in marketed pharmaceutical products. He edited the first book (John Wiley & Sons Inc., 2015, as shown above) in this research area. He serves as the Editors-in-Chief/associate editor/editorial board of multiple SCI journals, such as , , , , and . He established the first global artificial intelligence (AI)-based formulation platform (https://pharmes.computpharm.org/#) for in silico pharmaceutical formulation development. He successfully supervised over 20 PhD and master students.
Section 2: Research Interests and Grants
Since 2011, he has pioneered the integration of artificial intelligence, big data and multi-scale modeling techniques in the field of drug/gene delivery - "computational pharmaceutics”:
• Artificial intelligence (AI) of drug/gene delivery: to build the database of pharmaceutical formulations and predict the pharmaceutical formulations by machine learning approaches, such as lipid nanoparticle (LNP) for mRNA/siRNA delivery, long-term sustained release microsphere and various solubilization techniques;
• Multi-scale modeling in drug/gene delivery: to integrate quantum mechanics (QM), molecular dynamics (MD), mathematical modeling and physiologically based pharmacokinetic (PBPK) modeling into drug and gene delivery systems;
• Pharmacoinformatics: big data analysis of pharmaceutical information from the literature, patent, clinical trial and marketed products.
Major grants
• “Development and validation of molecular modeling platform for pharmaceutics”, 2022, Shenzhen-Hongkong-Macau coll
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• “Development and validation of molecular modeling platform for pharmaceutics”, 2022, Shenzhen-Hongkong-Macau collaboration project, 1000,000 RMB, Shenzhen (PI);
• “Application of artificial intelligence in triptorelin long-sustained release microsphere”, 2022, Zhuhai Industrial-Academic collaboration project (ZH22017002210010PWC), 800,000 RMB, Zhuhai, (co-PI);
• “Preparation and evaluation of a highly-soluble Ginsenoside Rh2 formulation”, 2021, FDCT Research Grant (0108/2021/A), 721,000 MOP, Macau (PI);
• “Application of artificial intelligence in triptorelin long-sustained release microsphere”, 2022, Zhuhai Industrial-Academic collaboration project (ZH22017002210010PWC), 800,000 RMB, Zhuhai, (co-PI);
• “Preparation and evaluation of a highly-soluble Ginsenoside Rh2 formulation”, 2021, FDCT Research Grant (0108/2021/A), 721,000 MOP, Macau (PI);