Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence. Researchers study the three dimensional structures of molecules on a wall-sized video ...

According to a recently published research paper by a team of scientists, a groundbreaking approach has been developed to create artificial allosteric sites (where by binding an effector molecule, ...

Two projects at the University of California, Davis, that use artificial intelligence to design and engineer proteins for industrial and health applications have been funded by the U.S. National ...

In a remarkable leap forward for synthetic biology, the AI model ESM3, developed by Evolutionary Scale, has achieved a significant milestone. By simulating half a billion years of evolutionary ...

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--Twist Bioscience Corporation (NASDAQ: TWST), a company enabling customers to succeed through its offering of high-quality synthetic DNA using its silicon ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Therapeutic protein design is evolving—and it is doing so in more than one sense of that word. Protein design is being guided by artificial intelligence (AI), which drug developers are using to ...

Nature is pretty good at designing proteins. Scientists are even better. But artificial intelligence holds the promise of improving proteins many times over. Medical applications for such “designer ...

The National Science Foundation is looking to foster more research and innovation in applications that artificial intelligence may have in protein design — a field of biotechnology that offers ...

Protein barcodes are short, information- rich stretches of amino acids encoded by DNA sequences that can be added to the DNA sequences coding for proteins. Then, when protein barcode DNA and protein ...