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 ...

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 ...

Zinc finger nucleases (ZFNs) have great potential for translational research and clinical use. Scientists succeeded in the efficient construction of functional ZFNs and the improvement of their genome ...