From prompts to genomes: A constraint-first framework for AI-driven sequence design across life and viruses.

A constraint-first framework enables reliable, auditable, and accountable AI-driven genome design across diverse life forms and viruses.

• Why it matters: Current genome-scale models can generate long DNA sequences, but sequence generation alone does not ensure biological feasibility or safety, highlighting a critical gap in trustworthy biological design.
• What they did: The approach combines a Constraint Compiler that translates natural-language prompts into testable specifications with a Validator Stack that assesses designs for integrity, plausibility, coherence, safety, and governance, using stress tests and adversarial evaluation.
• The result: This framework aims to advance prompt-to-genome systems from impressive sequence generation to dependable, transparent, and safe biological design, supported by benchmarks and a phased roadmap.