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基于计算机辅助筛选和复杂色谱方法从灵芝中筛选和分离脂氧合酶抑制剂的高效快速方法。

Efficient and fast screening and separation based on computer-aided screening and complex chromatography methods for lipoxygenase inhibitors from Ganoderma lucidum.

机构信息

Central Laboratory, Changchun Normal University, Changchun, China.

出版信息

Phytochem Anal. 2024 Apr;35(3):599-616. doi: 10.1002/pca.3316. Epub 2024 Jan 29.

Abstract

INTRODUCTION

Accurate screening and targeted preparative isolation of active substances from natural medicines have long been technical challenges in natural medicine research.

OBJECTIVES

This study outlines a new approach for improving the efficiency of natural product preparation, focusing on the rapid and accurate screening of potential active ingredients in Ganoderma lucidum and efficient preparation of lipoxidase inhibitors, with the aim of providing new ideas for the treatment of Alzheimer's disease with G. lucidum.

METHODS

The medicinal plant G. lucidum was selected through ultrafiltration coupled with liquid chromatography and mass spectrometry (UF-LC-MS) and computer-assisted screening for lipoxygenase (LOX) inhibitors. In addition, the inhibitory effect of the active compounds on LOX was studied using enzymatic reaction kinetics, and the underlying mechanism is discussed. Finally, based on the earlier activity screening guidelines, the identified ligands were isolated and purified through complex chromatography (high-speed countercurrent chromatography and semi-preparative high-performance liquid chromatography).

RESULTS

Five active ingredients, ganoderic acids A, B, C, D, and F, were identified and isolated from G. lucidum. We improved the efficiency and purity of active compound preparation using virtual computer screening and enzyme inhibition assays combined with complex chromatography.

CONCLUSION

The innovative methods of UF-LC-MS, computer-aided screening, and complex chromatography provide powerful tools for screening and separating LOX inhibitors from complex matrices and provide a favourable platform for the large-scale production of bioactive substances and nutrients.

摘要

简介

准确筛选和靶向制备天然药物中的活性物质一直是天然药物研究中的技术挑战。

目的

本研究概述了一种提高天然产物制备效率的新方法,重点是快速准确筛选灵芝中潜在的活性成分,并有效制备脂肪氧合酶抑制剂,旨在为灵芝治疗阿尔茨海默病提供新的思路。

方法

通过超滤与液相色谱-质谱联用(UF-LC-MS)和计算机辅助筛选,从药用植物灵芝中筛选出对脂氧合酶(LOX)有抑制作用的化合物。此外,还通过酶促反应动力学研究了活性化合物对 LOX 的抑制作用,并探讨了其作用机制。最后,根据早期的活性筛选指南,通过复杂色谱(高速逆流色谱和半制备高效液相色谱)对鉴定出的配体进行分离和纯化。

结果

从灵芝中鉴定并分离出五种活性成分,即灵芝酸 A、B、C、D 和 F。我们通过虚拟计算机筛选和酶抑制测定结合复杂色谱,提高了活性化合物制备的效率和纯度。

结论

UF-LC-MS、计算机辅助筛选和复杂色谱等创新方法为从复杂基质中筛选和分离 LOX 抑制剂提供了强大的工具,并为生物活性物质和营养素的大规模生产提供了有利的平台。

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