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Junhan Zhao

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Review Aug 2026

AI-powered medicinal chemistry and translational drug development.

This review examines how machine learning, deep learning, natural language processing (NLP), and generative modeling are being applied across medicinal chemistry and drug development, and highlights how multimodal data fusion, predictive modeling, and human-AI collaborative frameworks are supporting more informed decisions in rational drug design.

Kaicheng U, Sophia Meixuan Zhang, Ziyu Yu et al. · 0 citations