Designing the Haystack: Programmable Chemical Space for Generative Molecular Discovery
The paper introduces SpaceGFN, a generative framework that transforms chemical space into a programmable object by decoupling the explicit construction of synthetically coherent molecular universes from GFlowNet-based exploration, thereby enabling both targeted discovery of novel scaffolds and synthesis-aware lead optimization.