Terpenoids are a class of natural products widely distributed in living organisms, with isoprene as their fundamental structural unit. However, traditional plant extraction and chemical synthesis methods are often limited by low product purity, difficult separation, and complex synthetic steps, making it challenging to...
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.
Aakash Kamalesan, K. Kumar, Bharathi Nathan et al.· Antonie van Leeuwenhoek· 0 citations
This review summarizes recent advances in monoterpenoid biosynthesis, multilevel regulation, and heterologous production, with particular emphasis on major bottlenecks and optimization strategies for sustainable and efficient biomanufacturing.
Jun-Chi Zhang, Jiale Cui, Shang Li et al.· Natural Products and Biopros...· 0 citations
This review systematically summarize recent progress in the metabolic engineering of Candida species as microbial cell factories, with particular emphasis on expanding genetic toolkits, utilizting renewable and non-conventional carbon sources, and biosynthesizing high-value compounds.
It is proposed that scaffold enrichment in specific evolutionary lineages, when integrated with enzyme family expansion and functional divergence, may provide a complementary framework for prioritizing candidate tailoring enzymes.
Yalan Zhao, Mengyao Li, Shasha Zuo et al.· Molecules· 0 citations
This research demonstrates the efficacy of a genome-led approach to drug discovery, which has successfully translated genomic data into tangible chemical matter, functionally characterised previously cryptic BGCs, and contributed a novel class of antibiotics to the global pipeline for combating infectious diseases.
Jing Da· 0 citations
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