Jill Townley

This paper demonstrates that deep learning can accurately design RNA pseudoknots, achieving results comparable to human experts in a competition.

This study uses community science and RNA structure prediction to design splice-modulating ASOs that enhance exon 16 splicing in a hemophilia A model.

The paper introduces RibonanzaNet, a deep learning model trained on crowdsourced RNA chemical mapping data to predict RNA structure and related properties.

The paper describes the design and characterization of mini-PTC 1.1, a minimal ribosomal PTC RNA optimized through community science and RNA structural analysis.

This study uses community science and experimental screening to design mutant ribosomes with improved protein synthesis and cell growth in vitro and vivo.