Xiaoqin Tan
Principal Scientist @ Structure Therapeutics
China
Pudong
Pharmaceuticals
Generative AI, FEP, Generative Chemistry, ADMET modelling, Computational Chemistry , Deep Learning, Molecular modeling, Drug Discovery, AI assisted drug design, Drug Design
Experience
Principal Scientist
Structure Therapeutics
Leveraging advanced physics-based approaches (FEP, IFD-MD) together with cutting-edge AI methodologies such as generative chemistry, co-folding, and ADMET modeling to accelerate project progression.
Senior Scientist
Structure Therapeutics
Developing and applying cutting-edge AI methodologies, including generative chemistry, co-folding, and ADMET methods, to drive projects forward.
Research Scientist
ByteDance
AIDD, Generative Chemistry, AI-aided antibody design Research and application of pocket-based 3D molecular generation model and AI-assisted antibody design
Research Intern
Tencent
Developing algorithms for enzyme site-of-metabolism prediction.
Education
University of Chinese Academy of Sciences
drug design
Dedicated to the development and application of generative chemistry and compound protein interaction prediction methods
Zhengzhou University
Bioinformatics
Xiaoqin Tan's Contact Information
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