AI-Designed Proteases Can Cut Specific Proteins, Including Disease-Linked Ones
Researchers used AI protein design tools to replace most of two proteases while keeping their catalytic cores, producing enzymes that can be tuned to cut specific proteins. They demonstrated the approach by cutting proteins linked to neurological diseases, Ars Technica reports.
Proteins are chains of amino acids held together by peptide bonds. On their own, those bonds are extremely stable, with an estimated half-life of several hundred years. In Earth's environment, however, most proteins do not last that long because organisms have evolved ways to catalyze the breakup of peptide bonds. Those mechanisms have diversified into countless specialized protein-digesting enzymes, known as proteases. Proteases are everywhere and generally make short work of any proteins that find their way into the environment, the report says.
The researchers focused on the catalytic core of two types of protease and replaced the rest of the protein. This allowed the resulting enzymes to be tuned to cut specific proteins in half. The researchers demonstrated their effectiveness by using them to cut proteins associated with neurological diseases.
The basic peptide bond is not especially interesting-looking. It is what results when an amino group links to an acid, releasing a water molecule in the process. Amino acids have both an amino group and an acid group, allowing them to form peptide bonds on two sides. That property is critical for building the long chains found in proteins. Amino acids also have side chains with distinctive chemistry, which gives a protein backbone specific properties.
By swapping out everything but the catalytic core, the AI-designed enzymes retain the ability to break peptide bonds but can be directed toward chosen targets. Ars Technica reported that the approach could make it possible to design proteases that cut specific proteins, rather than relying only on naturally evolved enzymes. The demonstration with proteins associated with neurological diseases indicates the method can be applied to medically relevant targets, though the report did not provide details on clinical use or further testing.
The article describes the work as short-circuiting the diversification process. Instead of waiting for natural evolution to produce a protease with a desired specificity, researchers used AI-based design tools to rebuild the protein around an existing catalytic core. The resulting enzymes could be tuned, and the report says the researchers showed their effectiveness by cutting proteins associated with neurological diseases.
Editor's Summary
Researchers used AI-based protein design to replace most of two proteases while keeping their catalytic cores, producing enzymes that can be tailored to cut specific proteins. They demonstrated the enzymes by cutting proteins linked to neurological diseases, according to Ars Technica. The approach could offer a way to create targeted protein-cutting tools without relying solely on natural protease evolution.