Yanming Chen

This paper introduces RCDO, a closed-loop reinforcement learning framework that accelerates compound optimization by integrating experimental feedback with generative models, achieving significant improvements in drug candidate properties.

The paper uses disome-seq to detect ribosome collisions during translation, revealing their role in recruiting co-translational chaperones for protein folding.