Yin Zhang

Deep generative models for 3D structure-based drug design and molecular optimisation: a comprehensive survey

This survey provides a comprehensive review of over 100 methods in 3D structure-based drug design (SBDD) and molecular optimisation, and proposes a unified taxonomy covering four primary generative paradigms: autoregressive models, diffusion models, flow matching, and Bayesian Flow Networks.