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Translational Medicine / 转化医学Generative Chemistry, AI Drug Design

Regina Barzilay

PhD

🏢Massachusetts Institute of Technology🌐USA

School of Engineering Distinguished Professor for AI and Health

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👥Biography 个人简介

Regina Barzilay has developed graph neural network and generative AI approaches for drug discovery that have demonstrated the ability to identify novel chemical matter with desired anti-cancer properties from vast chemical spaces. Her laboratory's AI-driven discovery of halicin, a novel antibiotic identified through machine learning screening, provided proof-of-concept that AI can discover structurally novel bioactive compounds missed by traditional screening. She has applied similar approaches to cancer drug discovery, using generative models to design molecules optimized for potency against specific oncology targets while maintaining drug-like properties. Her work on AI-guided retrosynthetic planning enables practical chemical synthesis of AI-designed cancer drug candidates.

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🧪Research Fields 研究领域

generative molecular design AI cancer
graph neural network drug discovery
antibiotic discovery AI halicin
AI molecular property prediction
deep learning chemical synthesis planning

🎓Key Contributions 主要贡献

Representative Works 代表性著作

📄Data Sources 数据来源

Last updated: 2026-04-01 | All information from publicly available academic sources

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