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.

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.

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 ...

C2H2 zinc finger proteins are the largest group of DNA-binding factors for transcription—the process of copying genetic information from DNA to messenger RNA (mRNA). As there are more than 700 ...

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 ...

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 ...

The gene therapy uses proteins known as zinc finger protein transcription factors, which can be used to alter the expression of certain genes, in this case working to silence the gene expression ...

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 ...

Taking one step closer to understanding how, researchers led by Brian Black at the University of California, San Francisco, have uncovered a zinc finger protein, Zfp106, which associates with the ...

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.