Machine learning models have seeped into the fabric of our lives, from curating playlists to explaining hard concepts in a ...

Stanford scientists used machine learning to design improved zinc fingers that target disease genes while minimizing immunogenicity risk.

Researchers have engineered zinc finger proteins (ZFPs) to bind a diverse set of DNA sequences, and thereby target specific locations in the human genome, such as the promoters of therapeutically ...

Zinc-finger proteins (ZNFs) are involved in several cellular processes acting through different molecular mechanisms. ZNFs have key role in development and differentiation of several tissues.

A team led by Takashi Morii at the University of Kyoto (Japan) has now introduced a new method for attaching the proteins by means of special “adapters” known as zinc-finger proteins. The scientists ...

Zinc Finger Proteins Put Personalized HIV Therapy Within Reach Date: June 30, 2008 Source: University of Pennsylvania School of Medicine Summary: Researchers are using minute, naturally occurring ...

The researchers fed data from billions of interactions between ZF proteins and DNA into a machine-learning model, which can then generate engineered zinc fingers that bind to the given DNA sequence.

“Sangamo is the world leader in zinc finger protein genomic engineering, and we are very proud of the range and depth of our capabilities in this area,” said Jason Fontenot, Ph.D., Chief ...

patients with a mutant Ikaros zinc finger protein 1 (IKZF1). Study: Identification of IKZF1 Genetic Mutations as New Molecular Subtypes in Acute Myeloid Leukemia. Image Credit: bangoland ...

An artificial intelligence program may enable the first simple production of customizable proteins called zinc fingers to treat diseases by turning genes on and off. The researchers at NYU ...