Stanford University researchers are using machine learning algorithms to modify human proteins with an eye toward improving the efficacy and safety of targeted cell and gene therapies by reducing the ...

Their approach combined two levels of data: interactions between single zinc fingers and DNA, and between each zinc finger and its neighbouring finger. These zinc finger pair interactions influence ...

If MARIA predicted that the engineered zinc fingers weren't likely to be seen by the immune system, the design was considered safer. While the combination of these two models did yield functional zinc ...

Researchers at the University of Toronto have shown that an important class of DNA-binding factors can also bind to RNA, regulating gene expression through various mechanisms. The study significantly ...

Researchers at the University of Toronto (U of T) and NYU Grossman School of Medicine have developed a novel artificial intelligence technology, called ZFDesign, that can design zinc finger (ZF) ...