Researchers published in Science a synthetic-biology approach to create an organism that uses fewer amino acids, partially removing isoleucine from key protein sequences in the ribosome. Using AI-generated suggestions, the team replaced isoleucine with alternative amino acids across dozens of ribosomal proteins, then evaluated viability and function. The study builds on prior genetic code editing work but goes further by testing whether core translation machinery can function with a reduced amino-acid alphabet. Independent commentary from synthetic-genome researchers highlighted the strategy as both bold and a demonstration of AI’s ability to narrow protein-structure predictions. In practical terms, the work points toward more programmable protein synthesis routes—potentially enabling bespoke biomanufacturing and research-grade protein engineering—while underscoring how difficult it remains to rewire translation systems.