What struck me most in this paper was Evo-Φ36: the model rescued a protein swap that normally cripples the phage. That feels beyond the PoC AI designed genome.
If genAI can consistently compensate for otherwise nonfunctional changes, then maybe an underrated advance here could be in making structural motifs from outside the local evolutionary tree accessible?
Perhaps turning previously impossible swaps into workable modules - something akin to a compatibility engine for synthetic biology?
What struck me most in this paper was Evo-Φ36: the model rescued a protein swap that normally cripples the phage. That feels beyond the PoC AI designed genome.
If genAI can consistently compensate for otherwise nonfunctional changes, then maybe an underrated advance here could be in making structural motifs from outside the local evolutionary tree accessible?
Perhaps turning previously impossible swaps into workable modules - something akin to a compatibility engine for synthetic biology?
Curious what others here think!
Great take about the wow factor “AI can design whole genomes” whilst highlighting how it compensates for fatal changes!
I’d love to discuss more below, if anyone’s interest is equally piqued. 😊