Faculty of Computer and Information Science, University of Ljubljana, Večna Pot 113, SI-1000 Ljubljana, Slovenia.
Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna Pot 113, SI-1000 Ljubljana, Slovenia.
J Chem Inf Model. 2021 Feb 22;61(2):756-763. doi: 10.1021/acs.jcim.0c01332. Epub 2020 Dec 30.
Herein, we report a computational algorithm that follows a spectroscopist-driven elucidation process of the structure of an organic molecule based on IR, H and C NMR, and MS tabular data. The algorithm is independent from database searching and is based on a bottom-up approach, building the molecular structure from small structural fragments visible in spectra. It employs an analytical combinatorial approach with a graph search technique to determine the connectivity of structural fragments that is based on the analysis of the NMR spectra, to connect the identified structural fragments into a molecular structure. After the process is completed, the interface lists the compound candidates, which are visualized by the WolframAlpha computational knowledge engine within the interface. The candidates are ranked according to the predefined rules for analyzing the spectral data. The developed elucidator has a user-friendly web interface and is publicly available (http://schmarnica.si).
在此,我们报告了一种计算算法,该算法遵循基于 IR、H 和 C NMR 和 MS 表格数据的光谱学家驱动的有机分子结构阐明过程。该算法不依赖于数据库搜索,并且基于自下而上的方法,从谱图中可见的小结构片段构建分子结构。它采用分析组合方法和图搜索技术来确定基于 NMR 光谱分析的结构片段的连接性,将识别出的结构片段连接成一个分子结构。该过程完成后,界面列出化合物候选物,由界面内的 WolframAlpha 计算知识引擎进行可视化。候选物根据分析光谱数据的预定义规则进行排名。开发的阐明器具有用户友好的网络界面,并可公开获取(http://schmarnica.si)。