Generating protein hydrogels with customizable stress relaxation behavior via deep learning-driven entanglement design

Researchers developed TangleDiff, a deep learning system that designs homodimeric entangled proteins with customizable binding energies, enabling creation of protein hydrogels with tailored stress relaxation properties. Experimental tests confirmed that designed proteins formed hydrogels exhibiting stress relaxation matching predicted binding energies, advancing biomaterial design.