AI-discovered protein fragments as generalizable regulators of biomolecular condensates

Biomolecular condensates are a major driver of cellular organization; however, we lack a predictable and systematic approach to modulate the multivalent interactions underlying their formation. Here, we demonstrate that the AI-driven FragFold method enables robust and generalizable design of protein fragments to control biomolecular condensate formation. We apply this approach across diverse proteins: G3BP1, SARS-CoV-2 nucleocapsid, TDP-43, and focal adhesion kinase (FAK). Computationally screening 2,235 fragments, we selected 18 candidates for further investigation. Overall, we attain a 50% success rate (9/18 designs) in discovering condensate-controlling protein fragments, experimentally t