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用于药物发现的天然产物高通量分级分离

High-throughput fractionation of natural products for drug discovery.

作者信息

Tu Ying, Yan Bing

机构信息

Department of Chemical Biology and Therapeutics, St. Jude Children's Research Hospital, Memphis, TN, USA.

出版信息

Methods Mol Biol. 2012;918:117-26. doi: 10.1007/978-1-61779-995-2_9.

Abstract

An automated high-throughput method applied to the production and analysis of libraries of natural -products for high-throughput biological screening is described. The production of the library includes solid-phase extraction of crude extracts to remove polyphenols, followed by automated preparative high-performance liquid chromatography (HPLC) fractionation. Libraries of fractions are analyzed by an ultra-performance liquid chromatography-UV diode-array detection-evaporative light scattering detection-mass spectrometry system (UPLC/PDA/ELSD/MS) to provide information that facilitates characterization of compounds in active fractions. This system fractionates 2,600 unique natural product samples per year, providing fractions in 0.5-10 mg scale for creation of libraries that could be used for the screening of multiple targets to identify hits for various applications including drug discovery.

摘要

本文描述了一种应用于天然产物库生产和分析的自动化高通量方法,用于高通量生物筛选。该库的生产包括对粗提物进行固相萃取以去除多酚,随后进行自动化制备型高效液相色谱(HPLC)分级分离。通过超高效液相色谱-紫外二极管阵列检测-蒸发光散射检测-质谱系统(UPLC/PDA/ELSD/MS)对分级分离后的库进行分析,以提供有助于表征活性组分中化合物的信息。该系统每年可对2600个独特的天然产物样品进行分级分离,提供0.5-10毫克规模的组分,用于创建可用于筛选多个靶点以识别各种应用(包括药物发现)的命中物的库。

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