Rate My Professor Huanxiang Liu

Huanxiang Liu is a Professor in the Faculty of Applied Sciences at Macao Polytechnic University. She received her Ph.D. in Analytical Chemistry from the Department of Chemistry at Lanzhou University between 2001 and 2005, and her B.Sc. in Industrial Analysis from the Department of Applied Chemistry at Qingdao University of Science & Technology between 1997 and 2001. Her professional career encompasses serving as Professor of Medicinal Chemistry in the School of Pharmacy at Lanzhou University from 2008 to 2021, Postdoctoral Fellow in the School of Chemical Biology & Biotechnology at the Shenzhen Graduate School of Peking University from 2007 to 2008, Research Associate in the Department of Chemistry at the Hong Kong University of Science & Technology in 2007, and Postdoctoral Fellow in the Department of Theoretical & Applied Sciences at the University of Insubria, Italy, from 2006 to 2007. Since 2021, she has held her current professorial position at Macao Polytechnic University, where she contributes to research aligned with UN Sustainable Development Goals including good health and well-being.

Liu's research specializations include methodology development for drug design based on artificial intelligence, molecular simulations of the structure and function of biomacromolecules, and drug discovery targeting important proteins. She has produced over 230 SCI-indexed publications, accumulating more than 5,000 citations with an h-index of 39. Key publications feature "Molecular dynamics simulations and novel drug discovery" (Expert Opinion on Drug Discovery, 2018), "MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm" (Briefings in Bioinformatics, 2021), "Predicting molecular properties based on the interpretable graph neural network with multistep focus mechanism" (Briefings in Bioinformatics, 2022), "Application advances of deep learning methods for de novo drug design and molecular dynamics simulation" (Wiley Interdisciplinary Reviews: Computational Molecular Science, 2022), and recent works such as "Metadynamics Simulation Reveals Allosteric Communication Effects of the Flipping Process of the Atypical DLG Motif in RIPK1" (Journal of Chemical Information and Modeling, 2026) and "High-Throughput Screening of FDA-Approved Drugs for Antibacterial and Antibiofilm Activities Against Multidrug-resistant Pseudomonas aeruginosa" (ACS Omega, 2026). Her contributions advance computational approaches in drug discovery, addressing challenges like antimicrobial resistance and protein-ligand interactions.