Suppr超能文献

利用碳-13 NMR 通过查询核磁共振数据库来鉴定已知天然产物——评估。

Use of carbon-13 NMR to identify known natural products by querying a nuclear magnetic resonance database-An assessment.

机构信息

Université de Reims Champagne-Ardenne, CNRS, ICMR UMR 7312, Reims, France.

出版信息

Magn Reson Chem. 2023 Nov;61(11):582-588. doi: 10.1002/mrc.5386. Epub 2023 Aug 15.

Abstract

The quick identification of known organic low molecular weight compounds, also known as structural dereplication, is a highly important task in the chemical profiling of natural resource extracts. To that end, a method that relies on carbon-13 nuclear magnetic resonance (NMR) spectroscopy, elaborated in earlier works of the author's research group, requires the availability of a dedicated database that establishes relationships between chemical structures, biological and chemical taxonomy, and spectroscopy. The construction of such a database, called acd_lotus, was reported earlier, and its usefulness was illustrated by only three examples. This article presents the results of structure searches carried out starting from 58 carbon-13 NMR data sets recorded on compounds selected in the metabolomics section of the biological magnetic resonance bank (BMRB). Two compound retrieval methods were employed. The first one involves searching in the acd_lotus database using commercial software. The second one operates through the freely accessible web interface of the nmrshiftdb2 database, which includes the compounds present in acd_lotus and many others. The two structural dereplication methods have proved to be efficient and can be used together in a complementary way.

摘要

快速识别已知的有机低分子量化合物,也称为结构非冗余性,是自然资源提取物化学特征分析中非常重要的任务。为此,作者研究小组在早期工作中提出了一种依赖于碳-13 核磁共振(NMR)光谱的方法,该方法需要一个专用数据库,该数据库建立了化学结构、生物和化学分类以及光谱之间的关系。这样的数据库称为 acd_lotus,之前已经有报道,并且仅通过三个示例说明了其有用性。本文介绍了从生物磁共振库(BMRB)代谢组学部分选择的化合物记录的 58 个碳-13 NMR 数据集开始进行的结构搜索结果。使用了两种化合物检索方法。第一种方法涉及使用商业软件在 acd_lotus 数据库中进行搜索。第二种方法通过 nmrshiftdb2 数据库的免费访问网络界面进行操作,该界面包含 acd_lotus 中的化合物以及许多其他化合物。两种结构去冗余方法都被证明是有效的,可以互补地一起使用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验