Stanford Researchers Unveil Proto, A Programming Language That Designs Biological Systems Using AI
Summary
Stanford researchers unveil Proto, a groundbreaking AI-powered programming language that enables scientists to design complex biological systems — including DNA, RNA, and proteins — using natural language, achieving record experimental success rates and already validated in human cell lines.
Key Points
- Proto, a new high-level programming language for generative biology, is introduced by Stanford researchers, enabling the programmable design of biological systems across DNA, RNA, proteins, ligands, and their interactions.
- Proto composes abstract primitives into structured programs that support multi-objective generative design, achieving leading experimental success rates for synthetic protein-DNA design and successfully designing alternatively spliced introns validated in human cell lines.
- Proto integrates with AI agents to allow natural language-driven specification of complex biological pathways, and is being openly released with software infrastructure and user interfaces to broaden access to generative biological programming.