DeLinker: Deep Generative Models for 3D Linker Design
DiffLinker: An Equivariant 3D-conditional Diffusion Model for Molecular Linker Design that places missing atoms between disconnected fragments in 3D, designing molecules that incorporate all initial fragments with potential applications in linker generation for drug discovery.
DRLinker: Deep Reinforcement Learning for optimization in fragment linking Design
GRELinker: A Graph-based Generative Model for Molecular Linker Design with Reinforcement and Curriculum Learning
