 This paper proposes an interactive approach combining experiment and machine learning to accurately predict and design tetra-peptid hydrogels. It also demonstrates the potential of machine learning for predicting peptid hydrogelators and expanding the scope of natural peptid hydrogels. This article was offered by Tinyin Xu, Jiajie Wang, Zhuang Zhao, and others.