Abstract
The scientific community actively pursuits novel compounds with biological activities. In this context, our study utilized the predicted data mining approach (PDMA), which can efficiently screen out biotransformable precursor candidates to produce new bioactive compounds. The PDMA was applied to Bacillus megaterium tyrosinase (BmTYR) to form new bioactive hydroxyl compounds from isoxsuprine hydrochloride (isoxsuprine). The results show that isoxsuprine could be biotransformed by BmTYR to form a new compound, 3''-hydroxyisoxsuprine. 3''-Hydroxyisoxsuprine exhibited 40-fold and 10-fold higher potent antioxidant and anti-inflammation activities than the precursor, isoxsuprine. The 3''-hydroxyisoxsuprine effectively mitigates the hyperimmune response in RAW 264.7 macrophages by inhibiting the upregulation of pro-inflammatory cytokine (IL-1β and IL-6) and inflammatory enzyme COX-2 gene expression triggered by LPS stimulation. This study illustrates that PDMA is an effective strategy for screening known natural and chemical compounds and for generating new bioactive compounds through biotransformation. Our newly produced compound has potential future applications in pharmacology and biotechnology.