Structural enzymology of iterative type I polyketide synthases: various routes to catalytic programming
文献信息
Jialiang Wang, Zixin Deng, Jingdan Liang, Zhijun Wang
Time span of literature covered: up to mid-2023 Iterative type I polyketide synthases (iPKSs) are outstanding natural chemists: megaenzymes that repeatedly utilize their catalytic domains to synthesize complex natural products with diverse bioactivities. Perhaps the most fascinating but least understood question about type I iPKSs is how they perform the iterative yet programmed reactions in which the usage of domain combinations varies during the synthetic cycle. The programmed patterns are fulfilled by multiple factors, and strongly influence the complexity of the resulting natural products. This article reviews selected reports on the structural enzymology of iPKSs, focusing on the individual domain structures followed by highlighting the representative programming activities that each domain may contribute.
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来源期刊
Natural Product Reports
Natural Product Reports (NPR) is a critical review journal that stimulates progress in all areas of natural products research, including isolation, structural and stereochemical determination, biosynthesis, biological activity and synthesis. The scope of the journal is very broad, and many reviews discuss the role of natural products in the wider bioinorganic, bioorganic and chemical biology communities. Areas covered include the following: Enzymology Nucleic acids Genetics Chemical ecology Carbohydrates Primary and secondary metabolism Analytical techniques NPR articles are designed to give an interesting insight into the topic, focusing on the key developments that have shaped a field. Authors are encouraged to include their own perspective on developments, trends and future directions. Articles providing a very comprehensive overview or exhaustive list of previous literature and lacking critical insight are generally not suitable for publication in NPR. Meta-analyses of previously published data using existing tools can be included, however NPR articles should not include any new methods or data.
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