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Updated: Jan 10, 2026

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
Published on: March 12, 2020
Genome mining-driven discovery of enzymes catalyzing stereodivergent transformations
Jiayi Yu1, Richiro Ushimaru2,3
1Institute for Advanced Study and Department of Chemistry, Graduate School of Science, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.
None:
Natural products provide privileged scaffolds for drug discovery, yet their stereochemical complexity often exceeds the limits of synthetic chemistry. Genome mining has emerged as a transformative strategy to uncover cryptic biosynthetic gene clusters and enzymes with noncanonical activities. Recent studies have revealed enzymes exhibiting unusual stereoselectivities, thereby expanding the enzymatic repertoire for constructing complex chiral architectures. Comparative analyses indicated that subtle variations in sequence and active-site environments produce diverse stereochemical outcomes across enzyme families. This review highlights representative examples of stereodivergent enzymes identified through genome- or sequence-guided approaches, emphasizing their substrate scope, catalytic mechanisms, and stereocontrol features. These advances not only deepen our mechanistic understanding of stereoselectivity but also lay the groundwork for rational enzyme engineering and the development of next-generation biocatalysts in pharmaceutical synthesis.
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