Brent Townshend

ATOM-1 is an RNA foundation model trained on chemical mapping data, enabling state-of-the-art RNA prediction tasks through small probe neural networks.

The paper describes a method to select RNA aptamers against a large small molecule library, identifying biosensors with high sensitivity and diverse sensing patterns.

The paper analyzes regulatory elements in yeast to understand their interactions and develops methods to estimate their contributions to gene expression.