AI 药物设计课题组
Artificial Intelligence Drug Design Research Group (ADD)
Vision
We are committed to developing advanced artificial intelligence techniques to speed up drug development and reduce costs. The Artificial Intelligence Drug Design Research Group is in the College of Artificial Intelligence at Shenzhen University. Led by Assistant Professor Junkai Ji, the group focuses on the research topics of Artificial Intelligence Drug Design, including Drug generation (药物生成), Molecular docking (分子对接), Retrosynthesis (逆合成), Target discovery (靶点发现) and Full-process drug design agent (全流程药物设计智能体). In addition, we are also interested in other research orientations, such as Neuromorphic computing and Recommendation systems.
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Research
Autodock Koto
A powerful molecular docking model based on evolutionary computation.
Dockformer
Deep learning-based molecular docking model.
Hodor
Molecule generation model based on deep reinforcement learning.
Retrosynthetic
AI-Driven: Mapping Complex Targets to Purchasable Precursors.
Drug Design Agent
End-to-end drug design intelligent agent.
Dendritic neural model
Dendritic neural model is the fastest machine learning technique.