Odendaal Antoinette Y, Trader Darci J, Carlson Erin E
Department of Chemistry, Indiana University, 212 S. Hawthorne Dr, Bloomington, IN, 47401, USA.
Department of Molecular and Cellular Biochemistry, Indiana University, 212 S. Hawthorne Dr, Bloomington, IN, 47401, USA.
Chem Sci. 2011 Apr 1;2(4):760-764. doi: 10.1039/C0SC00620C. Epub 2011 Jan 28.
Natural products account for a significant proportion of modern day therapeutic agents. However, the discovery of novel compounds is hindered by the isolation process, which often relies upon extraction and chromatographic separation techniques. These methods, which are dependent upon the physicochemical properties of the compounds, have a limited ability to both purify and concentrate the minor components of a biological extract. We have devised an isolation strategy based upon an orthogonal chemical feature, namely, functional group composition. Development of a functional group-targeted method is expected to achieve exceptional resolution given the large number of distinct moieties present in natural product extracts. Here, we describe the generation of controllably reversible covalent enrichment tags for the chemoselective isolation of alcohol-containing natural products from complex mixtures.
天然产物在现代治疗药物中占很大比例。然而，新型化合物的发现受到分离过程的阻碍，该过程通常依赖于提取和色谱分离技术。这些方法依赖于化合物的物理化学性质，在纯化和浓缩生物提取物中的次要成分方面能力有限。我们设计了一种基于正交化学特征（即官能团组成）的分离策略。鉴于天然产物提取物中存在大量不同的部分，开发一种针对官能团的方法有望实现卓越的分离效果。在这里，我们描述了可控可逆共价富集标签的生成，用于从复杂混合物中化学选择性分离含醇天然产物。
