用于发现和设计天然产物生物合成途径的计算工具
Computational Tools for Discovering and Engineering Natural Product Biosynthetic Pathways.
作者信息
Ren Hengqian, Shi Chengyou, Zhao Huimin
机构信息
Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Departments of Chemistry, Biochemistry, and Bioengineering, Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
出版信息
iScience. 2020 Jan 24;23(1):100795. doi: 10.1016/j.isci.2019.100795. Epub 2019 Dec 27.
Natural products (NPs), also known as secondary metabolites, are produced in bacteria, fungi, and plants. NPs represent a rich source of antibacterial, antifungal, and anticancer agents. Recent advances in DNA sequencing technologies and bioinformatics unveiled nature's great potential for synthesizing numerous NPs that may confer unprecedented structural and biological features. However, discovering novel bioactive NPs by genome mining remains a challenge. Moreover, even with interesting bioactivity, the low productivity of many NPs significantly limits their practical applications. Here we discuss the progress in developing bioinformatics tools for efficient discovery of bioactive NPs. In addition, we highlight computational methods for optimizing the productivity of NPs of pharmaceutical importance.
天然产物（NPs），也被称为次生代谢产物，由细菌、真菌和植物产生。天然产物是抗菌、抗真菌和抗癌药物的丰富来源。DNA测序技术和生物信息学的最新进展揭示了自然界在合成众多可能具有前所未有的结构和生物学特性的天然产物方面的巨大潜力。然而，通过基因组挖掘发现新型生物活性天然产物仍然是一项挑战。此外，即使具有有趣的生物活性，许多天然产物的低产量也显著限制了它们的实际应用。在这里，我们讨论了开发用于高效发现生物活性天然产物的生物信息学工具的进展。此外，我们强调了用于优化具有药物重要性的天然产物产量的计算方法。
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