Trained on a dataset that includes all known living species – and a few extinct ones – Evo 2 can predict the form and function of proteins in the DNA of all domains of life and run experiments in a fraction of the time it would take a traditional lab.
Ehh, its not actually a big jump, and its oversold here. It’s useful as an alternative to hand-designing genes, but its just a summarization tool for the gene sequences we’ve already annotated – and a ballpark of 10-20% of those annotations are wrong, as it’s actually very hard to annotate genes’ functions correctly. I would be wary of trusting that this will work outside the most-studied protein families.
Ehh, its not actually a big jump, and its oversold here. It’s useful as an alternative to hand-designing genes, but its just a summarization tool for the gene sequences we’ve already annotated – and a ballpark of 10-20% of those annotations are wrong, as it’s actually very hard to annotate genes’ functions correctly. I would be wary of trusting that this will work outside the most-studied protein families.