Équipe, Chimie des Substances Naturelles, Université Paris-Saclay, CNRS, BioCIS, 17 avenue des Sciences, 91400 Orsay, France.
Nat Prod Rep. 2024 Nov 13;41(11):1723-1765. doi: 10.1039/d4np00011k.
Covering: up to 2024This review aims to draw a parallel between all known oligomers of monoterpene indole alkaloids (MIAs) by illustrating the chemical logic underlying their assembly. For this purpose, oligomeric MIAs were first comprehensively listed and organized according to the names of the backbones of their constitutive monomers and the binding sites. From this extensive list, an oligomer network was generated and unprecedented MIA statistics were mined and shared herein. Subsequently, oligomeric MIAs were categorized according to the number of connections instigated between their monomeric components (single, double, triple, and mixed tethering), then subdivided according to the uniqueness or combination of oligomerization assembly reactions. This effort outlined oligomerization trends in a scaffold-specific manner, and established binding reactivity patterns facilitating the comprehension of the associated biosynthetic processes. At last, this review illustrates a unique initiative in crafting a comprehensive repository of machine-readable metadata for MIA oligomers that could be leveraged for chemoinformatic purposes.
截至 2024 年
本综述旨在通过说明构成它们的组装的化学逻辑,将所有已知的单萜吲哚生物碱 (MIA) 低聚物进行对比。为此,首先根据构成单体的骨干和结合位点的名称,全面列出和组织低聚 MIA。从这个广泛的清单中,生成了一个低聚物网络,并在此处挖掘和共享了前所未有的 MIA 统计数据。随后,根据单体成分之间引发的连接数(单、双、三、混合连接)对低聚 MIA 进行分类,然后根据低聚化组装反应的独特性或组合进行细分。这项工作以特定于支架的方式概述了低聚化趋势,并建立了结合反应性模式,有助于理解相关的生物合成过程。最后,本综述展示了一项独特的倡议,即构建 MIA 低聚物的全面机器可读元数据存储库,可用于化学信息学目的。