MIT’s generative protein model spotlights the next battleground: synthetic biology data

Coverage attributed to MIT News describes a generative AI model aimed at predicting how synthetic proteins fold and interact with targets, with the stated goal of reducing lab trials and lowering protein-drug R&D costs. Separate Phys.org-linked coverage points to AI frameworks that simulate extreme chemical reactions, reinforcing a broader shift toward simulation- and synthetic-data-driven scientific modeling.