David Baker’s team is pushing AI protein design into its next phase.
AI models can now generate millions of protein designs — but the bottleneck has shifted from creation to validation.

In their latest Nature Communications paper, the Baker Lab develops a scalable experimental characterization platform to rapidly test AI-designed proteins and close the loop between Design → Build → Test → Learn.

The future of protein engineering may not just be bigger models — it may be faster feedback loops between AI and the wet lab.