管道(软件)
天然产物
合成生物学
计算机科学
产品(数学)
自然(考古学)
药物发现
计算生物学
数据科学
生化工程
工程类
生物
生物信息学
生物化学
程序设计语言
数学
几何学
古生物学
作者
Biyan Chen,Emre F. Bülbül,SeoungGun Bang,Hannah A. Minas,Kenan A. J. Bozhüyük
摘要
Covering: up to 2025.Non-ribosomal peptide synthetases and polyketide synthases are modular biosynthetic systems that produce structurally diverse and pharmacologically potent natural products, including antibiotics, immunosuppressants, and anticancer agents. Their programmable architecture has long inspired efforts in biosynthetic re-engineering. This review highlights recent advances that are transforming non-ribosomal peptide synthetase and polyketide synthase systems into versatile platforms for rational design. We discuss progress in genome mining, high-throughput screening, and dereplication, alongside emerging tools from synthetic biology and computational modeling. Particular focus is given to structure-based approaches-such as homology modeling, molecular docking, and molecular dynamics simulations-as well as deep learning strategies for enzyme prediction and design. Rather than replacing classical techniques, these computational methods now complement and extend them, enabling accelerating the discovery and assembly of tailor-made natural product analogs.
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