Yiannis A. Savva

This paper uses AI-guided ADAR editing to correct a nonsense mutation in mice, improving Rett syndrome symptoms and extending lifespan.

Helix predicts A-to-I RNA editing by ADARs with high accuracy using a structure-aware transformer model, enabling efficient gRNA design for therapeutic applications.

This paper develops a novel U7 snRNA scaffold that significantly enhances ADAR-mediated RNA base editing in vitro and in vivo, achieving up to 76% editing efficiency in mouse models.

This paper develops DeepREAD, a generative model for designing ADAR guide RNAs to enable efficient and specific RNA editing for therapeutic applications.

The paper identifies a linear neural circuit for light avoidance in Drosophila larvae using trans-Tango MkII and circuit epistasis analysis.