A deep generative model for molecule optimization via one fragment modification

Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning

Abstract: To improve desired properties of drugs or other molecules, deep learning can be used to guide the optimization process. Chen et al. present a method that optimizes molecules one fragment at a time and requires fewer parameters and training data while still improving optimization performance.