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Findings reveal tissue-specific metabolite accumulation and key genes involved in MIA biosynthesis in N. cadamba that provide valuable insights into specialized metabolism and establish a foundation for future metabolic engineering and functional genomics studies.
Artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools for metabolic engineering by enabling pathway prediction, metabolic flux optimization, enzyme engineering, and identification of bottlenecks throughout terpenoid biosynthesis.