(77a) Learning to Design Organic Syntheses

Drug discovery is an enormously complex multi-objective optimization problem. Machine learning and artificial intelligence techniques are increasingly used in the design of new compounds, yet the synthesis of those compounds continues to be a predominantly manual task. This talk will describe ongoing efforts to streamline the design, validation, and implementation of small molecule synthetic routes through a computational understanding of synthetic chemistry learned from the chemical literature.