 The study uses alpha-fold multimer to screen 1879 small secreted proteins from seven tomato pathogens for interacting with six defense-related hydrolases of tomato, identifying 15 non-unnotated SSBs that are predicted to obstruct the active site of chitinases and proteases with an intrinsic fold. For SSBs were experimentally verified to be inhibitors of pathogenesis-related Satellase P69B, including extracellular protein 36, ECP36, and secreted into xylem 15, 615, of the fungal pathogens cladosporium thulvium and fusarium oxysporium, respectively. The study demonstrates the power of artificial intelligence to predict cross-kingdom interactions at the plant-pathogen interface. This article was authored by Felix Homer, Jia Huang, and Renier A. L. van der Horne.