Going from designing individual genes to complete genomes is an incredibly challenging problem. We have previously shown that the genomic foundation models like the Evo series can generate single proteins and multi-component systems like CRISPR-Cas complexes or protein-protein interactions. However, even before we developed Evo, one of our longstanding goals has been to design a complete, functional genome with a biological language model.
What does this have to do with protein-folding neural networks?