Chuyun Chen

The paper identifies 3'UTR sequences that promote cap-independent translation initiation in human mRNAs, revealing a new regulatory mechanism involving translation factors.

The paper develops a deep learning method to map SNV effects on translation efficiency, finding that variants influence disease risk through translation regulation.

The paper develops a deep learning model to predict translation initiation and termination sites from RNA sequences, revealing new insights into translation control and identifying novel open reading frames.

This study identifies IRES-like elements that drive circRNA translation and shows that many endogenous circRNAs are translated into peptides.