天然产品长期以来一直是化学和制药制造的关键原料,主要可以为药物发现和开发提供优越的支架或中间体。在上个世纪,天然产品贡献了超过三分之一的治疗药物生产。然而,在过去的几十年里,用天然产物生产药物的传统方法变得效率更低,成本更高。基于基因组测序的基因组挖掘和合成生物学的联合利用,生物信息学工具,大数据分析,基因工程,代谢工程,和系统生物学承诺,以应对这一趋势。这里,我们回顾了最近(2020-2023年)用于解决天然产物生产挑战的基因组挖掘和合成生物学实例,比如品种少,效率低,产量低。此外,新兴的高效工具,设计原则,并讨论了合成生物学的构建策略及其在NPs合成中的应用前景。
Natural products have long served as critical raw materials in chemical and pharmaceutical manufacturing, primarily which can provide superior scaffolds or intermediates for drug discovery and development. Over the last century, natural products have contributed to more than a third of therapeutic drug production. However, traditional methods of producing drugs from natural products have become less efficient and more expensive over the past few decades. The combined utilization of genome mining and synthetic biology based on genome sequencing, bioinformatics tools, big data analytics, genetic engineering, metabolic engineering, and systems biology promises to counter this trend. Here, we reviewed recent (2020-2023) examples of genome mining and synthetic biology used to resolve challenges in the production of natural products, such as less variety, poor efficiency, and low yield. Additionally, the emerging efficient tools, design principles, and building strategies of synthetic biology and its application prospects in NPs synthesis have also been discussed.