FragFlex: Fragment-Based Flexible Molecular Generation for Exploring Vast Chemical Space
FragFlex is a flexible-length discrete diffusion model that generates molecules by inserting and deleting fragments during denoising. It jointly learns fragment count, identities, and connectivity while maintaining chemical validity. This allows molecular size and composition to evolve together in a single generation process, enabling the creation of millions of distinct valid molecules.