天然产物
非核糖体肽
生物
脂质Ⅱ
基因
细菌
药物发现
镧系元素
计算生物学
微生物学
抗菌剂
生物化学
遗传学
生物合成
细菌素
作者
John Chu,Xavier Vila‐Farrés,Daigo Inoyama,Melinda A. Ternei,Louis Cohen,Emma A. Gordon,Boojala Vijay B. Reddy,Zachary Charlop–Powers,Henry Zebroski,Ricardo Gallardo‐Macias,Mark Jaskowski,Shruthi Satish,Steven Park,David S. Perlin,Joel S. Freundlich,Sean F. Brady
标识
DOI:10.1038/nchembio.2207
摘要
The synthetic bioinformatic natural products (syn-BNPs) approach identifies putative natural products that are validated directly by independent synthesis. Its application led to the identification of humimycins, non-ribosomal peptides that have antimicrobial activity in mice. Here we present a natural product discovery approach, whereby structures are bioinformatically predicted from primary sequence and produced by chemical synthesis (synthetic-bioinformatic natural products, syn-BNPs), circumventing the need for bacterial culture and gene expression. When we applied the approach to nonribosomal peptide synthetase gene clusters from human-associated bacteria, we identified the humimycins. These antibiotics inhibit lipid II flippase and potentiate β-lactam activity against methicillin-resistant Staphylococcus aureus in mice, potentially providing a new treatment regimen.
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