Abstract This work introduces a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to generate structures with certain specified desirable properties. We demonstrate how this model can execute a range of tasks such as generating analogues to a query structure and generating compounds predicted to be active... https://www.jmannino.com/save-now-3D-Key-Ring-Rainbow-Lorikeet-Pete-Cromer-Wilmot-Harvey-super-grab/