Machine learning-based drug discovery success depends on molecular representation. Yet traditional molecular fingerprints omit both the protein and pointers back to structural information that would enable better model interpretability. Therefore, we propose LUNA, a Python 3 toolkit that calculates and encodes protein-ligand interactions into new hashed fingerprints inspired by Extended Connectivity FingerPrint (ECFP): EIFP (Extended Interaction FingerPrint), FIFP (Functional Interaction FingerPrint), and Hybrid Interaction FingerPrint (HIFP). LUNA also provides visual strategies to make the fingerprints interpretable. We performed three major experiments exploring the fingerprints' use. First, we trained machine learning models to reproduce DOCK3.7 scores using 1 million docked Dopamine D4 complexes. We found that EIFP-4,096 performed (R² = 0.61) superior to related molecular and interaction fingerprints. Second, we used LUNA to support interpretable machine learning models. Finally, we demonstrate that interaction fingerprints can accurately identify similarities across molecular complexes that other fingerprints overlook. Hence, we envision LUNA and its interface fingerprints as promising methods for machine learning-based virtual screening campaigns. LUNA is freely available at https://github.com/keiserlab/LUNA.

EIF3H is presumed to be a critical translational initiation factor. Here, our unbiased screening for tumor invasion factors has identified an unexpected role for EIF3H as a deubiquitylating enzyme that dictates breast tumor invasion and metastasis by modulating the Hippo-YAP pathway. EIF3H catalyzed YAP for deubiquitylation, resulting in its stabilization. Structure-based molecular modeling and simulations coupled with biochemical characterization unveiled a unique catalytic mechanism for EIF3H in dissociating polyubiquitin chains from YAP through a catalytic triad consisting of Asp90, Asp91, and Gln121. Trp119 and Tyr 140 on EIF3H directly interacted with the N-terminal region of YAP1, facilitating complex formation of EIF3H and YAP1 for YAP1 deubiquitylation. Stabilization of YAP via elevated EIF3H promoted tumor invasion and metastasis. Interference of EIF3H-mediated YAP deubiquitylation blocked YAP-induced tumor progression and metastasis in breast cancer models. These findings point to a critical role for YAP regulation by EIF3H in tumor invasion and metastasis. SIGNIFICANCE: This work demonstrates that EIF3H is a novel bona fide deubiquitinase that counteracts YAP ubiquitylation and proteolysis, and stabilization of YAP by EIF3H promotes tumor invasion and metastasis.