David B.T. Cox

Computational design of sequence-specific DNA-binding proteins

This paper designs sequence-specific DNA-binding proteins computationally and validates them experimentally, achieving high specificity and affinity for target sequences.

Ribonanza: deep learning of RNA structure through dual crowdsourcing

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

Engineered Cpf1 Enzymes with Altered PAM Specificities

This paper engineers Cpf1 variants with altered PAM specificities to expand their targeting range while maintaining specificity.

Genome Editing With Targeted Deaminases

This paper introduces targeted deaminases for site-specific C-to-T genomic edits without DNA cleavage, achieving 13% efficiency in E. coli and 2.5% in human cells with reduced toxicity.