We use artificial intelligence and computational chemistry to accelerate drug discovery and design. Deep learning, molecular simulation, and large-scale data analysis help move promising ideas toward validated candidates.
We build reusable drug-design workflows around Pre-clinical drug discovery,including target identification, hit-finding, hit-to-lead, molecular representation, virtual screening, and experimental validation.
An interdisciplinary team across artificial intelligence, medicinal chemistry, computational chemistry, computational biology, and platform engineering.
Professor, PI
Department of Pharmaceutical Science
School of Medicine, Shanghai University
yuemin@shu.edu.cn+86 15261860117
