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类黄酮作为酪氨酸酶抑制剂:体外和计算机模拟的动力学研究。

Flavones as tyrosinase inhibitors: kinetic studies in vitro and in silico.

机构信息

Leicester School of Pharmacy, De Montfort University, Leicester, UK.

Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Hacettepe University, Ankara, Turkey.

出版信息

Phytochem Anal. 2020 May;31(3):314-321. doi: 10.1002/pca.2897. Epub 2020 Jan 29.

Abstract

INTRODUCTION

Tyrosinase is a multifunctional copper-containing oxidase enzyme that catalyses the first steps in the formation of melanin pigments. Identification of tyrosinase inhibitors is of value for applications in cosmetics, medicine and agriculture.

OBJECTIVE

To develop an analytical method that allows identification of drug-like natural products that can be further developed as tyrosinase inhibitors. Results of in vitro and in silico studies will be compared in order to gain a deeper insight into the mechanism of action of enzyme inhibition.

METHOD

Using an in vitro assay we tested tyrosinase inhibitor effects of five structurally related flavones, i.e. luteolin (1), eupafolin (2), genkwanin (3), nobiletin (4), and chrysosplenetin (5). The strongest inhibitors were further investigated in silico, using enzyme docking simulations.

RESULTS

All compounds tested showed modest tyrosinase inhibitory effect compared to the positive control, kojic acid. The polymethoxy flavones 4 and 5 exhibited the strongest tyrosinase inhibitory effect with the half maximal inhibitory concentration (IC ) values of 131.92 ± 1.75 μM and 99.87 ± 2.38 μM respectively. According to kinetic analysis 2, 4 and 5 were competitive inhibitors, whereas 1 and 3 were non-competitive inhibitors of tyrosinase. Docking studies indicated that methoxy groups on 4 and 5 caused steric hindrance which prevented alternative binding modes in the tyrosinase; the methoxy groups on the B-ring of these flavones faced the catalytic site in the enzyme.

CONCLUSIONS

The docking simulations nicely complemented the in vitro kinetic studies, opening the way for the development of predictive models for use in drug design.

摘要

简介

酪氨酸酶是一种多功能含铜氧化酶,催化黑色素形成的第一步。鉴定酪氨酸酶抑制剂对于化妆品、医药和农业领域具有重要意义。

目的

开发一种分析方法,以鉴定可进一步开发为酪氨酸酶抑制剂的类药性天然产物。比较体外和计算研究的结果,以便更深入地了解酶抑制作用的机制。

方法

我们使用体外测定法测试了 5 种结构相关的类黄酮(即木樨草素(1)、桑色素(2)、根皮苷(3)、诺必灵(4)和桑色素(5))对酪氨酸酶抑制剂的作用。对最强的抑制剂进一步进行了计算模拟,使用酶对接模拟。

结果

与阳性对照曲酸相比,所有测试的化合物均表现出适度的酪氨酸酶抑制作用。多甲氧基黄酮 4 和 5 表现出最强的酪氨酸酶抑制作用,其半最大抑制浓度(IC )值分别为 131.92±1.75μM 和 99.87±2.38μM。根据动力学分析,4 和 5 是竞争性抑制剂,而 1 和 3 是非竞争性抑制剂。对接研究表明,4 和 5 上的甲氧基基团引起空间位阻,阻止了酪氨酸酶中的替代结合模式;这些类黄酮 B 环上的甲氧基基团面向酶的催化位点。

结论

对接模拟很好地补充了体外动力学研究,为药物设计中使用预测模型的开发开辟了道路。

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