Bian-LAB-Artificial Intelligence Drug Discovery Laboratory
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.
Research Directions
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.
AI-Powered Drug Design
Leverage deep learning and machine learning to accelerate drug candidate screening and optimization, improving efficiency and accuracy.
Computational Chemistry
Understand drug-target interaction mechanisms through molecular simulation and quantum chemistry calculations.
Computational Biology
Integrate modeling and simulations to comprehensively construct structure-function frameworks for target systems.
Medicinal Chemistry
Combine computational and experimental approaches to design and optimize lead compounds with high activity and favorable pharmacokinetic properties.
Targeted Drug Discovery
Precisely screen and design targeted therapeutics based on target structure and functional characteristics.
AI-Powered Drug Design
Leverage deep learning and machine learning to accelerate drug candidate screening and optimization, improving efficiency and accuracy.
Computational Chemistry
Understand drug-target interaction mechanisms through molecular simulation and quantum chemistry calculations.
Computational Biology
Integrate modeling and simulations to comprehensively construct structure-function frameworks for target systems.
Medicinal Chemistry
Combine computational and experimental approaches to design and optimize lead compounds with high activity and favorable pharmacokinetic properties.
Targeted Drug Discovery
Precisely screen and design targeted therapeutics based on target structure and functional characteristics.
Team Members
An interdisciplinary team across artificial intelligence, medicinal chemistry, computational chemistry, computational biology, and platform engineering.
Yuemin Bian, Ph.D.
Professor, PI
Department of Pharmaceutical Science
School of Medicine, Shanghai University
yuemin@shu.edu.cn+86 15261860117
Lab Technician
