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Nat Prod Rep. 2021 Jan 1;38(1):130-239. doi: 10.1039/d0np00027b. Epub 2020 Sep 16.
2
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BMC Genomics. 2020 Jun 3;21(1):387. doi: 10.1186/s12864-020-06785-7.
3
Linaridin natural products.利那洛肽天然产物。
Nat Prod Rep. 2020 Sep 23;37(9):1152-1163. doi: 10.1039/c9np00074g.
4
DeepRiPP integrates multiomics data to automate discovery of novel ribosomally synthesized natural products.DeepRiPP 整合多组学数据,实现新型核糖体合成天然产物的自动化发现。
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基于生物信息学和反应性的林纳菌素发现。

Bioinformatic and Reactivity-Based Discovery of Linaridins.

出版信息

ACS Chem Biol. 2020 Nov 20;15(11):2976-2985. doi: 10.1021/acschembio.0c00620. Epub 2020 Nov 10.

DOI:10.1021/acschembio.0c00620
PMID:33170617
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7680433/
Abstract

Linaridins are members of the ribosomally synthesized and post-translationally modified peptide (RiPP) family of natural products. Five linaridins have been reported, which are defined by the presence of dehydrobutyrine, a dehydrated, alkene-containing amino acid derived from threonine. This work describes the development of a linaridin-specific scoring module for Rapid ORF Description and Evaluation Online (RODEO), a genome-mining tool tailored toward RiPP discovery. Upon mining publicly accessible genomes available in the NCBI database, RODEO identified 561 (382 nonredundant) linaridin biosynthetic gene clusters. Linaridin BGCs with unique gene architectures and precursor sequences markedly different from previous predictions were uncovered during these efforts. To aid in data set validation, two new linaridins, pegvadin A and B, were detected through reactivity-based screening and isolated from and , respectively. Reactivity-based screening involves the use of a probe that chemoselectively modifies an organic functional group present in the natural product. The dehydrated amino acids present in linaridins as α/β-unsaturated carbonyls were appropriate electrophiles for nucleophilic 1,4-addition using a thiol-functionalized probe. The data presented within significantly expand the number of predicted linaridin biosynthetic gene clusters and serve as a roadmap for future work in the area. The combination of bioinformatics and reactivity-based screening is a powerful approach to accelerate natural product discovery.

摘要

亚麻苦苷是核糖体合成和翻译后修饰肽(RiPP)天然产物家族的成员。已经报道了五种亚麻苦苷,它们的特征是存在脱氢丁氨酸,这是一种来自苏氨酸的脱水、含烯烃的氨基酸。本工作描述了为快速 ORF 描述和评价在线(RODEO)开发的亚麻苦苷特异性评分模块,这是一种针对 RiPP 发现量身定制的基因组挖掘工具。在对可从 NCBI 数据库中公开访问的基因组进行挖掘后,RODEO 鉴定了 561 个(382 个非冗余)亚麻苦苷生物合成基因簇。在这些努力中,发现了具有独特基因结构和前体序列的亚麻苦苷 BGC,这些序列与之前的预测明显不同。为了帮助数据集验证,通过基于反应性的筛选检测到两种新的亚麻苦苷 pegvadin A 和 B,并分别从 和 中分离出来。基于反应性的筛选涉及使用探针,该探针化学选择性地修饰天然产物中存在的有机官能团。亚麻苦苷中存在的脱水氨基酸作为α/β-不饱和羰基,是使用巯基官能化探针进行亲核 1,4-加成的合适亲电试剂。所呈现的数据极大地扩展了预测的亚麻苦苷生物合成基因簇的数量,并为该领域的未来工作提供了路线图。生物信息学和基于反应性的筛选的结合是加速天然产物发现的有力方法。