葡萄糖苷作为真菌膜生物合成酶羊毛甾醇-14α-去甲基化酶的潜在药物和关键抑制剂分子的计算机预测和药代动力学研究。

Q3 Pharmacology, Toxicology and Pharmaceutics
Gurpreet Singh
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引用次数: 1

摘要

背景:硫代葡萄糖苷(β-巯基葡萄糖苷- n-羟基硫酸盐)是一种水溶性有机阴离子,含有大量的含硫和含氮糖苷,存在于十字花科植物中。麦角甾醇(ERG13)羊毛甾醇-14α-去甲基化酶蛋白作为真菌膜生物合成的关键调控酶,已被靶向抑制研究。目的:了解十字花科植物中不同化学物质硫代葡萄糖苷抑制麦角甾醇(ERG13)羊毛甾醇- 14α-去甲基化酶的分子机制及其作为药物分子的潜在作用。方法:本研究通过硅片分析,预测了不同硫代葡萄糖苷作为真菌膜生物合成关键调节因子羊毛甾醇-14α-去甲基化酶蛋白潜在抑制剂的分子基础及其药理学和毒性谱。从PubChem检索各种硫代葡萄糖苷的三维结构,从RCSB蛋白数据库检索目标蛋白羊毛甾醇-14α-去甲基化酶(Pdb ID- 4lxj)。使用PyRx软件使用AutoDOCK工具栏进行分子对接和相互作用,工具栏带有默认参数。使用drug - LiTo、ORISIS web服务器预测各种药物的可能性预测和利平斯基5法则,使用admetSAR预测毒性,使用PASS程序研究这些化合物的抗真菌和抗菌性能。结果:本研究表明,在所筛选的化合物中,与羊毛甾醇-14α-去甲基化酶的结合能最高的分别为-8.7 kcal/mol、-8.5 kcal/mol和-8.3 kcal/mol的葡萄糖甲素、葡萄桃苷和吲哚甲基-硫代葡萄糖苷。此外,所有化合物都遵循利平斯基规则,并且它们被发现在本质上是非致癌和无细胞毒性的。这些化合物也显示出抗真菌的特性。结论:本研究揭示了不同的硫代葡萄糖苷在不同的氨基酸位置与ERG13酶相互作用,作为催化位点,从而提示了可能的失活机制,从而可以作为潜在的药物分子加以利用。可以采取体外研究来进一步检查这些化合物作为抗真菌剂的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In silico Prediction and Pharmacokinetic Studies on Glucosinolates as a Potential Drug and Key Inhibitor Molecule for Lanosterol-14α- demethylase: A Fungal Membrane Biosynthesis Enzyme.

Background: Glucosinolates (β-thioglucoside-N-hydroxysulfates) are a water-soluble organic anion with sulfur- and nitrogen-containing glycosides which are found in abundance in Cruciferous plants. Ergosterol (ERG13) lanosterol-14α-demethylase protein has been targeted for inhibition studies as a key regulator enzyme of fungal membrane biosynthesis.

Objectives: To understand the molecular mechanism of inhibition of Ergosterol (ERG13) lanosterol- 14α-demethylase by various phytochemicals from brassicales, i.e., glucosinolates and their potential role as putative drug molecules.

Methods: In this study, in silico analyses were performed to predict the molecular basis of various glucosinolates as a potential inhibitor of lanosterol-14α-demethylase protein, which is a key regulator of fungal membrane biosynthesis and its pharmacodynamics and toxicity profile. 3d structures of various glucosinolates were retrieved from PubChem, and the target protein, lanosterol-14α-demethylase (Pdb ID- 4lxj), was retrieved from the RCSB protein data bank. Molecular docking and interactions were carried out using the PyRx software using the AutoDOCK toolbar with default parameters. Dru- LiTo, ORISIS web servers were used to predict various drug likeliness predictions and Lipinski's Rule of 5, whereas admetSAR was used for prediction of toxicity, and PASS Program was used to study the antifungal and antimicrobial properties of these compounds.

Results: This study shows that among the different compounds screened, gluconasturtiin, Glucotropaeolin, and Indolylmethyl-Glucosinolate showed the highest binding energies of -8.7 kcal/mol, -8.5 kcal/mol, and -8.3 kcal/mol with the lanosterol-14α-demethylase, respectively. Further all the compounds follow the Lipinski's rule as well as they are found to be non-carcinogenic and non-cytotoxic in nature. These compounds also show antifungal properties.

Conclusion: This study thus reveals that various glucosinolates interact with the ERG13 enzyme at various amino acid positions, which behaves as a catalytic site, thus indicates the probable mechanism of inactivation, and subsequently, these can be used as potential drug molecules. In vitro studies can be taken to further examine the utility of these compounds as antifungal agents.

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来源期刊
Current drug discovery technologies
Current drug discovery technologies Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
3.70
自引率
0.00%
发文量
48
期刊介绍: Due to the plethora of new approaches being used in modern drug discovery by the pharmaceutical industry, Current Drug Discovery Technologies has been established to provide comprehensive overviews of all the major modern techniques and technologies used in drug design and discovery. The journal is the forum for publishing both original research papers and reviews describing novel approaches and cutting edge technologies used in all stages of drug discovery. The journal addresses the multidimensional challenges of drug discovery science including integration issues of the drug discovery process.
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