Bradshaw J, Butina D, Dunn A J, Green R H, Hajek M, Jones M M, Lindon J C, Sidebottom P J
GlaxoSmithKline Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, UK.
J Nat Prod. 2001 Dec;64(12):1541-4. doi: 10.1021/np010284g.
A new approach to the use of commercial databases for the dereplication of purified natural products has been developed. This is based on searching a text file that links each structure with its molecular weight and an exact count of the number of methyl, methylene, and methine groups it contains. Analysis of such a text file, constructed from a database containing more than 126,000 natural product structures, revealed that these data, readily measured using MS and NMR spectroscopy, are highly discriminating. The identification of an alkaloid and a sesquiterpene using this new approach is described.
一种利用商业数据库进行纯化天然产物去重复的新方法已经开发出来。这是基于搜索一个文本文件,该文件将每个结构与其分子量以及其中所含甲基、亚甲基和次甲基基团的精确数量联系起来。对一个由包含超过126,000个天然产物结构的数据库构建的文本文件进行分析后发现,这些易于通过质谱和核磁共振光谱测量的数据具有高度的区分性。本文描述了使用这种新方法鉴定一种生物碱和一种倍半萜的过程。