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运用化学合成技术研究 colibactin 这种“暗物质”代谢物的结构和功能。

Employing chemical synthesis to study the structure and function of colibactin, a "dark matter" metabolite.

机构信息

Department of Chemistry, Yale University, New Haven, Connecticut 06520, USA.

出版信息

Nat Prod Rep. 2020 Nov 18;37(11):1532-1548. doi: 10.1039/d0np00072h.

Abstract

Covering: 2015 to 2020 The field of natural products is dominated by a discovery paradigm that follows the sequence: isolation, structure elucidation, chemical synthesis, and then elucidation of mechanism of action and structure-activity relationships. Although this discovery paradigm has proven successful in the past, researchers have amassed enough evidence to conclude that the vast majority of nature's secondary metabolites - biosynthetic "dark matter" - cannot be identified and studied by this approach. Many biosynthetic gene clusters (BGCs) are expressed at low levels, or not at all, and in some instances a molecule's instability to fermentation or isolation prevents detection entirely. Here, we discuss an alternative approach to natural product identification that addresses these challenges by enlisting synthetic chemistry to prepare putative natural product fragments and structures as guided by biosynthetic insight. We demonstrate the utility of this approach through our structure elucidation of colibactin, an unisolable genotoxin produced by pathogenic bacteria in the human gut.

摘要

涵盖内容

2015 年至 2020 年 天然产物领域主要遵循以下发现模式:分离、结构解析、化学合成,然后阐明作用机制和结构-活性关系。尽管这一发现模式在过去已被证明是成功的,但研究人员已经积累了足够的证据得出结论,即自然界中绝大多数的次级代谢产物——生物合成的“暗物质”——无法通过这种方法进行鉴定和研究。许多生物合成基因簇(BGCs)表达水平低,或者根本不表达,在某些情况下,由于发酵或分离过程中分子的不稳定性,完全阻止了其检测。在这里,我们讨论了一种替代的天然产物鉴定方法,该方法通过利用合成化学根据生物合成的见解来制备假定的天然产物片段和结构,从而应对这些挑战。我们通过对肠道病原体产生的不可分离的遗传毒素 colibactin 的结构解析,展示了该方法的实用性。

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