In this work, we introduce LigandDiff, a scaffold-based diffusion model to generate 3D transition complexes from scratch. Diffusion models 24 are a class of probabilistic generative models which destroy the initial clean input data by progressively introducing random noise, then reverse the whole process for new sample generation. This method has been widely used in inpainting,