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 ...

The key insight with a new strategy for training protein engineering models, called EvoRank, is to harness the natural variations of millions of proteins generated by evolution over deep time and ...

Massive volumes of digital data are generated every day from AI training, big data analytics and smart devices. As ...

Protein engineering and self-assembly techniques have transformed our capacity to design and manipulate protein structures for diverse applications. Through a combination of rational design and ...

In medicine and biotechnology, the ability to evolve proteins with new or improved functions is crucial, but current methods are often slow and laborious. Now, Scripps Research scientists have ...

A new platform combines rational protein design with continuous evolution to discover functional molecules more efficiently. In medicine and biotechnology, the ability to evolve proteins with new or ...

Evolution is biology's powerful method of engineering. It works by generating many variants of DNA, RNA, and proteins inside cells and letting nature "select" the organism that performs best. Early ...

The brain of a rat in which a fluorescent protein has been used to highlight transplanted human brain cells - Copyright Stanford University/AFP Sergiu PASCA The brain ...

It has long been thought that protein function and stability are highly sensitive to changes in the composition of the internal structures, or protein cores. However, a large-scale experiment probing ...

Thought too hard to do, a new platform evolved proteins in mammalian cells, which could help researchers design drugs that work better in humans. “There are many, many examples, both published and ...

EvoRank offers a new and tangible example of how AI may help bring disruptive change to biomedical research and biotechnology more broadly. Using the MutRank framework trained with EvoRank, Danny Diaz ...