Digital art techniques can now devise custom, working biomolecules on demand. These proteins could form the basis for vaccines, therapeutics and biomaterials. Read the full story:
can also make these kinds of protein, but Watson says RFdiffusion’s designs are much more sophisticated.
A funnel-shaped protein assembly and a ring-like structure with six protein chains , designed from noise using diffusion-based AI art generators.The cloud-based version of RFdiffusion had around 100 users each day by late June, according to Sergey Ovchinnikov, an evolutionary biologist at Harvard University in Cambridge, Massachusetts.
Ovchinnikov and others say it’s challenging, in general, to design biomolecules whose function depends on floppy regions that give them the ability to adopt many different shapes. These are features that have proved difficult to model using AI. “If the problem is, can we bind to something else and inhibit it,” says Ovchinnikov, “I think that problem is going to be solved with these methods.
The latest protein-design tools have proved to be extremely powerful at creating proteins that can do a particular task — so long as that function can be described in terms of a shape, such as the surface of a protein to bind to, says AlQuraishi.
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