Ian P. Barrett

RP3Net predicts recombinant protein production in E. coli using deep learning, achieving 77% accurate predictions and 92% correct identification of expressing constructs.

This paper introduces Dis2Vec, a representation learning framework for human diseases that enables therapeutic transferability prediction and disease clustering, enhancing translational research efficiency.