Aaron M. Robida

This paper identifies two oxygen-dependent nicotine and pseudooxynicotine metabolizing enzymes with higher catalytic efficiency than NicA2, suggesting their potential for therapeutic and biotechnological applications.

This paper develops a framework combining machine learning and metabolic modeling to predict synergistic cancer therapies influenced by microbiome composition in colorectal cancer.

This paper identifies omaveloxolone as an ERAD inhibitor that induces apoptosis in multiple myeloma cells through caspase 8 and DISC signaling.

This paper introduces M2D2, a two-stage ML model that identifies synergistic antimicrobial drug combinations and validates them experimentally against E. coli.

The paper identifies metabolites that modulate epigenetic drugs by analyzing histone PTM-metabolite interactions across 600 cell lines.