大麻二酚(CBD)合成机制研究进展。

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Fu Wang, Zhenyuan Zang, Qian Zhao, Chunxiao Xiaoyang, Xiujuan Lei, Yingping Wang, Yiqiao Ma, Rongan Cao, Xixia Song, Lili Tang, Michael K. Deyholos* and Jian Zhang*, 
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引用次数: 0

摘要

大麻(Cannabis sativa L.)是一种多用途作物,在食品、纺织品和其他行业具有很高的价值。它的次级代谢产物,包括大麻二酚(CBD),具有广泛的医药应用潜力。随着大麻二酚市场的不断扩大,传统的生产方式可能无法满足需求。在此,我们回顾了利用生物技术生产 CBD 的潜力。我们介绍了大麻素的化学和生物合成、相关酶以及代谢工程、合成生物学和异源表达在提高 CBD 产量方面的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advancement of Research Progress on Synthesis Mechanism of Cannabidiol (CBD)

Advancement of Research Progress on Synthesis Mechanism of Cannabidiol (CBD)

Advancement of Research Progress on Synthesis Mechanism of Cannabidiol (CBD)

Cannabis sativa L. is a multipurpose crop with high value for food, textiles, and other industries. Its secondary metabolites, including cannabidiol (CBD), have potential for broad application in medicine. With the CBD market expanding, traditional production may not be sufficient. Here we review the potential for the production of CBD using biotechnology. We describe the chemical and biological synthesis of cannabinoids, the associated enzymes, and the application of metabolic engineering, synthetic biology, and heterologous expression to increasing production of CBD.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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