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.roneverhart.com/Toshiba-AL13SX-AL13SXB30EN-300GB-15K-RPM-SAS-12Gb-s-512n-128MB-2-5-Hard-Drive/